chapter 6_energy storage+ electric vehicles_feb 2011.pdf
TRANSCRIPT
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Green Energy Course-
Renewable Energy Systems
Bin san: Nguyn Hu PhcKhoa in- in T- i Hc Bch Khoa TPHCM
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Energy Storage Systems For
Advanced Power Applications
Paulo F. Ribeiro, Ph.D., MBA
Calvin CollegeGrand Rapids, Michigan, USA
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Abstract
Energy storage technologies do not represent energy sources
Provide valuable added benefits to improve:
stabil ity, power quality and security of supply.
Battery Technologies
Flywheel Technologies
Advanced / Super Capaci tors
Superconducting Energy Storage Systems
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Introduction
Electric Power Systems - Experiencing Dramatic Changes
Electric load growth and higher regional power transfers in a largely interconnectednetwork: >>complex and less secure power system operation.
Power generation and transmission facil ities - unable to meet these new demands
Growth of electronic loads has made the quality o f power supply a critical issue.
Power system engineers facing these challenges - operate the system in more aflexible.
In face of dis turbances - generators unable to keep the system stable.
High speed reactive power control i s possible through the use of flexible actransmission systems (FACTS) devices.
Better solution: rapidly vary real power without impacting the system through powercirculation.
Recent developments and advances in energy storage and power electronicstechnologies
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Energy Storage Systems for Advanced Transmission and Distribution
Applicat ions
Energy Storage Technology Power Convert
Factors:The amount of energy that can be stored in the device.The rate at which energy can be transferred into or out of the storagedevice.
Power/Energy ranges for near to mid-term technology have projected
Integration of energy storage technologies with Flexible AC TransmissionSystems (FACTS) and custom power devices are among the possibleadvanced power applications utilizing energy storage.
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10 100 10001
Energy (MWsec)
Power(MW
)
Capacitor
SMES
Flywheel Batteries
Power vs. Energy Ranges
for Near to Midterm Technology
Benefits: transmission enhancement, power oscillation damping,dynamic voltage stability, tie line control, short-term spinningreserve, load leveling, under-frequency load shedding reduction,circuit break reclosing, sub-synchronous resonance damping, andpower quality improvement.
1
10
100
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Storage TechnologiesMain Advantages(Relat ive to others)
Disadvantages(Relat ive to others)
Power
Application Energy
Appl icat ion
Pum ped Storage High Capac ity, Low Cost Spec ial S ite Requiremen t
Compressed Air High Capac ity, Low Cost Spec ial S ite Requirement,Need Gas Fue l
F low Batteries:RegenesysVanad ium RedoxZinc Bromine
High Cap ac ity,Independent Power andEnergy Ratings
Low Energy Dens i ty
Metal-Air Batteries Very High EnergyDensity
Electric Charging is Difficult
Sod ium Sul fur (NAS)Battery
H igh Power & EnergyDensit ies,High Eff ic iency
Product ion Cost,Safety Concerns(addressed in des ign)
Li-ion Batteries H igh Power & EnergyDen sities, High Eff ic iency
High Product ion Cost,Requires Spec ial ChargingCircuit.
Ni-Cad Batteries High Power & EnergyDensit ies,Eff ic iency
Other Advanced Batteries High Power & EnergyDensit ies,High Eff ic iency
High Product ion Cost
Lead-Ac id Batteries Low Capital Cost L imited Cyc le Li fe whenDeeply Discharged
Flywheels High Power Low Energy dens ity
SMES, DSMES H igh Power Low Energy Dens i ty , H ighProduct ion Cost
Doub le Layer Capac itors(SuperCapac itors)
Long Cyc le Li fe, H ighEff ic iency
Low Energy Dens i ty
Source ASA
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A. Superconducting Magnetic Energy Storage (SMES)
ControllerCoil Protection
Cryogenic
System
VCoil
ICoil
DewarPower Conversion System
CSI
orVSI + dc-dc chopper
Transformer Bypass
Switch Coil
AC
Line
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A. Superconducting Magnetic Energy Storage (SMES)
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Solenoid Configuration(100 MJ 4kA - 96MW System)
A. Superconduct ing Magnetic Energy Storage (SMES)
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SMES efficiency and fast response capability (MW/millisecond) havebeen, and can be further exploited in applications at all levels ofelectric power systems. Potential applications have been studied since1970s.
a) load leveling,b) frequency support (spinning reserve) during loss of generation,c) enhancing transient and dynamic stability,d) dynamic voltage support (VAR compensation),e) improving power quality,f) increasing transmission line capacity, thus enhancing overall security
and reliability of power systems.
Further development continues in power conversion systems and controlschemes, evaluation of design and cost factors, and analyses forvarious SMES system applications..
A. Superconduct ing Magnetic Energy Storage (SMES)
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B. Battery Energy Storage Systems (BESS)
Batteries are one of the most cost-effective energy storage
technologies available, with energy stored electrochemically.
Key fac tors in battery for storage applicat ions include: high
energy density, high energy capabil ity, round trip efficiency,
cycling capabili ty, l i fe span, and init ial cost.
Battery technologies under consideration for large-scale
energy storage.
Lead-ac id bat ter ies can be designed for bulk energy storage
or for rapid charge/discharge.
Mobile applications are favoring sealed lead-acid battery
technologies for safety and ease of maintenance.
Valve regulated lead-acid (VRLA) batter ies have better cost
and performance characteristics for stationary applications.
Photo Source: UP Networks
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BESS Example Transmission/Distribution Application
Lead-acid batteries,have been used in afew commercial andlarge-scale energymanagementapplications.The largest one is a40 MWh system inChino, California,built in 1988. Thetable below lists and
compares the lead-acid storagesystems that arelarger than 1MWh.
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C. Advanced / Super / Capacitors
CVq =
d
AC
e=
2
2
1CVE =
tot
tot
RiC
dtidV *+*=
The amount of energy a capacitor is capable of storingcan be increased by either increasing the capacitance orthe voltage stored on the capacitor.
The stored voltage is limited by the voltage withstandstrength of the dielectric.
As with batteries, the turn around efficiency whencharging/discharging capacitors is also an importantconsideration, as is response time.
The effective series resistance of the capacitor has asignificant impact on both. The total voltage changewhen charging or discharging capacitors is shown in
equation
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NESSCAP 10F/2.3V
C. Advanced / Super / Capacitors
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Advantages Disadvantage
Power (higher density) Energy DensityEnergy Efficiency (higher)Maintenance
Discharge
Parameters Electrostatic Cap Ultra-Cap BatteryDischarge 10E-3-6 sec 1-30 sec 0.3-3 hoursCharge 10E-3-6 sec 1-30 sec 1-5 hours
Energy Density 10E4Wh/kg 10-20E4Wh/kg 5-200Wh/kgCharge Eff. ~1.0 0.9-0.95 0.7-0.85Cycle life infinite >500,000
Ness Caps
C. Advanced Capacitors
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D. Flywheel Energy Storage (FES)
Flywheels can be used to store energy for power systemswhen the flywheel is coupled to an electric machine.
Stored energy depends on the moment of inertia of the rotorand the square of the rotational velocity of the flywheel..Energy is transferred to the flywheel when the machineoperates as a motor (the flywheel accelerates), charging theenergy storage device. The flywheel is discharged when theelectric machine regenerates through the drive (slowing theflywheel).
E = 21I
2I =
2
r2mh
The energy storage capability of flywheels can beimproved either by increasing the moment of inertia ofthe flywheel or by turning it at higher rotationalvelocities, or both.
Active Power, Inc.
The moment
of inertia (I)depends onthe radius,mass, andheight(length) of therotor
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=
=FW
D. Flywheel Energy Storage (FES)
Flywheel energy storage coupled
to a dynamic voltage restorer.
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Manufacturer Technology Capacity (kW) Capacity (time)
A Flywheel 120 kW 20 sec
B Flywheel/Battery 160 kW 15-30 min
C Battery 3.1 - 7.5 kVA 15 min
Battery 0.7 - 2.1 kVA 10 min
Battery 700 - 2100 kVA 13 min
Battery 7.5 - 25 kVA 17 min
D Battery 1250 kVA 15 min
Flywheel 700 kW 10 min
E Battery 450 - 1600 kVA 6-12 min
F Flywheel/Battery 5-1000 kVA 5-60 min
G Battery 0.14 - 1.2 kVA 5-59 min
H Battery 0.28 - 0.675 kVA 15 min
Source: EPRI
Example End-User Application
Energy Storage / UPS Systems
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Advanced Power Systems Applications
SMES can inject and absorb power rapidly, but battery and flywheel systems are modularand more cost effective. Advanced flywheels and advanced capacitor technologies are stillbeing developed and are emerging as promising storage technologies as well.
Performance \ ESS SMES BESS FES Advanced
capacitor
Dynamic Stability
Needs to be
exploredTransient Stability
Voltage Support
Area Control/ Frequency
Regulation
Transmission Capability
Improvement
Power Quality Improvement
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A. Integration of Energy Storage Systems into FACTS Devices
FACTS controllers are power electronics based devices that can rapidly influence thetransmission system parameters such as impedance, voltage, and phase to provide fastcontrol of transmission or distribution system behavior.
FACTS controllers that can benefit the most from energy storage are those that utilize avoltage source converter interface to the power system with a capacitor on a dc bus. Thisclass of FACTS controllers can be connected to the transmission system in parallel(STATCOM), series (SSSC) or combined (UPFC) form, and they can utilize or redirect theavailable power and energy from the ac system.
Without energy storage, FACTS devices are limited in the degree of freedom andsustained action
DeviceMVA
FACTs DeviceReactive Power (Q)
Real Power
from SMES Converter Losses
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A. Integration of Energy Storage Systems into FACTS Devices
Advanced Solut ions
Transmission
Link
EnhancedPower
Transfer andStability
Line
Reconfiguration
FixedCompensation
FACTS
EnergyStorage
BetterProtection
IncreasedInertia
BreakingResistorsLoad
Shedding
FACTS
Devices
Traditional Solut ions
SVCSTATCOMTCSC, SSSCUPFC
Steady State
Issues
Voltage LimitsThermal LimitsAngular Stability Limits
Loop Flows
Dynamic
Issues
Transient StabilityDamping Power
SwingsPost-ContingencyVoltage ControlVoltage Stability
Subsynchronous Res.
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Generation Transmission Distribution End-User
Energy Storage for
SpinningReserveLoad Leveling
SpinningReserveLoad Leveling
Transmission Cap.ReliabilityStability
ContinuityReliabilityPower Quality
Power Quality
Functions
Configurations
Shunt Comp. Shunt / Series Comp. Shunt / Series Comp. Shunt Comp.
Applications
StatcomPQ Parks
Arc FurnaceFACTS Devices
A. Integration of Energy Storage Systems
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The performance of a power-electronics -energy-storage-enhanced device is verysensitive to the location with regard togeneration and loads, topology of thesupply system, and configuration andcombination of the compensation device.
STATCOM with SMES
STATCOM/SMES dynamicresponse to ac systemoscillations
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2 STATCOMs 1 STATCOM + SMES
Voltage and Stability Control Enhanced Voltage and Stability Control
60.8
59.2
time (sec)time (sec)
(2 x 80 MVA Inverters) ( 80 MVA Inverter + 100Mjs SMES)
60.8
59.2
60.8
59.2
time (sec)
No Compensation
STATCOM with SMES
Location and Configuration Type Sensit ivity
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FACTS with BESS
+_
ExternalPowerBus 2
ExternalPowerBus 1
R1 R2
S1
SS
S
23
C
C C
filter
dc1 dc2
Cfilter
Lfilter
4
1 2
Battery
PC - DSP - basedcontrol system
ReferenceValues
Six ControlSignals
Six ControlSignals
MeasuredValues
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(a) STATCOM vs
STATCOM/BESS
(b) SSSC vs SSSC/BESS (c) STATCOM/BESS vs
SSSC/BESS vs UPFC
Active power f low between areas
FACTS with BESS
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Voltage at Area 2 bus
(a) STATCOM vs
STATCOM/BESS
(b) SSSC vs
SSSC/BESS
(c) STATCOM/BESS
vs SSSC/BESS vsUPFC
FACTS with BESS
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C. Power Quality Enhancement with Energy Storage
Custom power devices address problems found at distribution level,such as voltage sags, voltage swells, voltage transients andmomentary interruptions.
The most common approaches to mitigate these problems focus on
customer side solutions such as Uninterruptible Power Supply (UPS)systems based on battery energy storage.
Alternative UPS systems based on SMES and FESS are also available.
==
=
Dynamic voltage restorer (DVR) with capacitor storage
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STATCOM
Reactive Power Only
Operates in the
vertical axis only
STATCOM + SMES
Real and Reactive Power
Operates anywhere within the
PQ Plane / Circle (4-Quadrant)
P
Q
The Combination or Realand Reactive Power willtypically reduce the Rating ofthe Power Electronics front
end interface.Real Power takes care ofpower oscillation, whereasreactive power controlsvoltage.
The Role of Energy Storage: real
power compensation can
increase operating control and
reduce capital costs
P - Active Power
Q - Reactive Power
MVA Reduction
FACTS + Energy Storage
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VSI CSI
Natural Forced
Synchronous PWM
Hard Soft
Two-Level Multi-Level
SCR GTO IGBT MCT MTO
System
CommutationApproach
SwitchingTechnology
TransitionApproach
CircuitTopology
DeviceType
Power Electronics - Semiconductor Devices
Decision-Making Matrix
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X
E1 / 1E2 / 2
IP&Q
Plus Energy Storage
Regulating Bus Voltage + InjectedVoltage + Energy Storage
Can Control Power FlowContinuously, and Support OperationUnder Severe Fault Conditions(enhanced performance)
Universal Topology + Energy Storage Implementation
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Cost Considerations
Energy storage system costs for a transmission application are driven bythe operational requirements.
The costs of the system can be broken into three main components:
The energy storage system,
The supporting systems (refrigeration for SMES is a big item) and
The Power Conversion System.
The cost of the energy storage system is primarily determined by the amount of
energy to be stored. The configuration and the size of the power conversion systemmay become a dominant component for the high-power low-energy storageapplications. For the utility applications under consideration, estimates are in therange of $10-100K per MJ for the storage system.
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Cost Considerations
In order to establish a realistic cost estimate, the following steps aresuggested:
identify the system issue(s) to be addressed;
select preliminary system characteristics:
define basic energy storage, power, voltage and current requirements;
model system performance in response to system demands to establisheffectiveness of the device;
optimize system specification and determine system cost;
determine utility financial benefits from operation;
compare systems cost and utility financial benefits to determineadequacy of utilitys return on investment,
compare different energy storage systems performance and costs
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Technology & Cost Trends
I
$$$
$
I
additional cost savings possible
$
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Conclusions
Potential performance benefits produced by advanced energy storageapplications:
improved system reliability
dynamic stability
enhanced power quality
transmission capacity enhancement
area protection, etc..
FACTS (Flexible AC Transmission Systems) devices which handle both
real and reactive power to achieve improved transmission systemperformance are multi-MW proven electronic devices now beingintroduced in the utility industry. In this environment, energy storage is alogical addition to the expanding family of FACTS devices.
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Conclusions
As deregulation takes place, generation and transmission resourceswill be utilized at higher efficiency rates leading to tighter and moment-by-moment control of the spare capacities.
Energy storage devices can facilitate this process, allowing the utilitymaximum utilization of utility resources.
The new power electronics controller devices will enable increasedutilization of transmission and distribution systems with increasedreliability.
This increased reliance will result in increased investment in devices
that make this asset more productive.Energy storage technology fits very well within the new environment byenhancing the potential application of FACTS, Custom Power andPower Quality devices.
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Storage batteries for solar and wind systems
Application of the wind turbine system
Brief state of art of storage solutions
Battery technologies: Lead Acid, NiMH and Lithium ion
Energetic models via Bond-Graph of electrochemical components
Quasi-static energetic model of fuel cell
Simple battery models: Lithium-ion and lead acid batteries
Stationary batteries for wind and solar applications: technology & simple models
Simple application examples:
A remote site
Solar pumping
Application of the studied wind turbine system: Hybridization of the DC bus with an
accumulator
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EnergyStorage+Smart Grid
Energy StorageSolutions
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Energy
and
transport
2/19/2012 45
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Hybrid and Electric Vehicle Designs andTheir Impact on Energy
P. T. Krein
Director, Grainger Center for Electric Machineryand Electromechanics
Department of Electrical and ComputerEngineering
University of Illinois at Urbana-Champaign, USA
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Overview
Early electric cars and advantages
Energy and power issues
The modern hybrid Energy and environment motives for hybrids
and electrics
Near-term; myths and trends
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Early Electric Cars Electric vehicles are clean and easy to use. Low maintenance, available infrastructure.
Electric motors were easy to control. Motors have
high power-to-
weight ratio.
1914 DetroitElectric car.
Limited range.Source: I. Pitel.
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Early Hybrid Cars
The advantages of electric drives aresubstantial, but range is a challenge.
Hybrids can deliver energy for long intervals.
Retain the reliabilityand ease-of-use
advantages of
electric cars.
The 1900 Porschehybrid.
www.hybridvehicle.org
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Gasoline Car Culture
The Ford Model T in 1909 made carsaffordable. Original list price: US$290.
Gasoline was a waste product of oil refining.
Low-cost mass production, low fuel costs,and performance limits helped fuel-drivencars overtake electric cars by 1920.
Reliability has been improvingcontinuously for fuel vehicles.
There was little change inelectric car technology until
the 1960s.
www.xtec.es
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The relative decline of electric vehicles after 1910
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The reasons for the greater success to date of ICengine vehicles are easily understood when onecompares the specific energy of petroleum fuel to
that of batteries.
The specific energy of fuels for IC engines varies,but is around 9000 Whkg1, whereas the specific
energy of a lead acid battery is around 30Whkg1.
Once the efficiency of the IC engine, gearbox andtransmission (typically around 20%) for a petrolengine is accounted for, this means that 1800Whkg1 of useful energy (at the gearbox shaft)
can be obtained from petrol.
Specific energy means the energy stored per kilogram. Thenormal SI unit is Joule per kilogram (Jkg1).
However, this unit is too small in this context, and so theWatthour per kilogram (Whkg1) is used instead. 1Wh =
3600 J.
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To illustrate the point further, 4.5 litres (1 gallon) of petrol with a mass of around 4 kg will give atypical motor car a range of 50 km.
To store the same amount of useful electric energy requires a lead acid battery with a mass ofabout 270 kg.
To double the energy storage and hence the range of the petrol engine vehicle requires storagefor a further 4.5 litres of fuel with a mass of around 4 kg only, whereas to do the same with a leadacid battery vehicle requires an additional battery mass of about 270 kg.
With an electric motor efficiency of 90% only 27Whkg1 of useful energy (at the motor shaft)
can be obtained from a lead acid battery.
In practice this will not double the electric vehicle
range, as a considerable amount of the extraenergy is needed to accelerate and deceleratethe 270 kg of battery and to carry it up hills.
Some of this energy may be regained throughregenerative breaking, a system where the motoracts as a generator, braking the vehicle andconverting the kinetic energy of the vehicle toelectrical energy, which is returned to batterystorage, from where it can be reused.
In practice, when the efficiency of generation,control, battery storage and passing the electricityback through the motor and controller is accountedfor, less than a third of the energy is likely to be
recovered.
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Another major problem that arises withbatteries is the time it takes to recharge them.
Even when adequate electrical power isavailable there is a minimum time, normallyseveral hours, required to re-charge a lead acid
battery, whereas 45 litres of petrol can be putinto a vehicle in pproximately one minute.
The recharge time of some of the new batterieshas been reduced to one hour, but this is stillconsiderably longer than it takes to fill a tank ofpetrol.
Yet another limiting parameter with electricvehicles is that batteries are expensive, so thatany battery electric vehicle is likely not only tohave a limited range but to be more expensivethan an internal combustion engine vehicle ofsimilar size and build quality.
As a result regenerative breaking tends to be used as much as a convenient way of brakingheavy vehicles, which electric cars normally are, as for energy efficiency. For lead acidbatteries to have the effective energy capacity of 45 litres (10 gallons) of petrol, a staggering2.7 tonnes of batteries would be needed!
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Revival
Revival of hybridcars about 1970.
New electronics
attempted in the1980s (GM Sunraycer).
Mature power electronics since early 1990s.
NiMH batteries maturedenough in the late 90s.
Li-ion almost there now.
eands.caltech.edu
www.treehugger.com
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Revival
Maturing power electronics overcame majorperformance barriers
in the 1990s.
2000 General MotorsEV1 high-performance
electric car prototype.
Limited range. Storageproblems unresolved.
Source: www.gmev.com
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Hybrid Designs Continue
The advantages of hybrids (no mechanicaldrive train) have long dominated for the
heaviest vehicles.
At the largest sizes ships and
locomotives the
diesel-electrichybrid has been
important since
the 1920s.
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Energy and Power Needs
Electric motors have high power density and good control.
A car needs to store energy for range.
Alternatives: Capacitors or inductors
Flywheels or springs
Compressed air tanks
Batteries
Liquid fuel
Figures of merit: Useful storage per unit mass
Useful energy rate (power) per unit massA 90 HP electric motorbased on automotive duty.
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Energy and Power NeedsStorage technologyStorage technology Energy densityEnergy density
LeadLead--acid batteriesacid batteries 100 kJ/kg (30 W100 kJ/kg (30 W--h/kg)h/kg)
LithiumLithium--ion batteriesion batteries 600 kJ/kg600 kJ/kg
Compressed air, 10Compressed air, 10 MPaMPa 80 kJ/kg (not including tank)80 kJ/kg (not including tank)
Conventional capacitorsConventional capacitors 0.2 kJ/kg0.2 kJ/kg
UltracapacitorsUltracapacitors 20 kJ/kg20 kJ/kg
FlywheelsFlywheels 100 kJ/kg100 kJ/kg
GasolineGasoline 43000 kJ/kg43000 kJ/kg
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Energy and Power Needs
Rate is a problem.
Example: refill a gas tank with 60 L in 5 min.
The energy rate is roughly that of 20 majorcampus buildings!
It is costly and problematic to fill batteriesquickly.
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The Modern Hybrid Efficiency and emissions improvements motivate
modern hybrid designs.
Power electronics is nearly routine.
General types: series and parallel.
Series hybrid: energy assembled electrically.
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There are two basic arrangements for hybridvehicles, the series hybrid and the parallel hybrid,
which are illustrated in Figures .
In the series hybrid the vehicle is driven by one ormore electric motors supplied either from thebattery, or from the IC engine driven generatorunit, or from both. However, in either case thedriving force comes entirely from the electricmotor or motors.
In the parallel hybrid the vehicle can either be driven bythe IC engine working directly through a transmissionsystem to the wheels, or by one or more electricmotors, or by both the electric motor and the IC engineat once.
In both series and parallel hybrids the battery can berecharged by the engine and generator while moving,and so the battery does not need to be anything like aslarge as in a pure battery vehicle.
Also, both types allow for regenerative braking, for thedrive motor to work as a generator and simultaneouslyslow down the vehicle and charge
the battery.
Series Hybrid and Parallel Hybrid Vehicles
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The series hybrid tends to be used only in specialist applications.
For example, thedi esel powered railway engine is nearly always a series hybrid,as are some ships. Some special all-terrain vehicles are series hybrid, with aseparately controlled electric motor in each wheel.
The main disadvantage of the series hybrid is that all the electrical energymust pass through both the generator and the motors. The adds considerably tothe costof such systems.
The parallel hybrid, on the other hand, has scope for very wide application. Theelectric machines can be much smaller and cheaper, as they do not have toconvert all the energy.
Series Hybrid and Parallel Hybrid Vehicles
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Alternatively, and more usefully, a parallel hybrid vehicle can use the IC engine and batteries
in combination, continually optimising the efficiency of the IC engine.
A popular arrangement is to obtain the basic power to run the vehicle, normally around 50%of peak power requirements, from the IC engine, and to take additional power from theelectric motor and battery, recharging the battery from the engine generator when the batteryis not needed.
Using modern control techniques the engine speed and torque can be controlled to minimiseexhaust emissions and maximise fuel economy. The basic principle is to keep the IC engineworking fairly hard, at moderate speeds, or else turn itoff completely.
In parallel hybrid systems it is useful to define a variable called the degree of hybridisationas follows:
The greater the degree of hybridisation, the greater the scope for using a smaller IC engine,and have it operating at near its optimum efficiency for a greater proportion of the time.
Degree of Hybridisation
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California Air Resources Board (CARB)
partial zero emission vehicles (PZEVs)
The Toyota Prius
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A nickel metal hydride battery is used. At start up or at low speeds the Prius is powered solely by the electricmotor, avoiding the use of the internal combustion engine when it is at its most polluting andleast efficient.
This car uses regenerative braking and has a high overall fuel economy of about 56.5 miles per US gallon (68miles per UK gallon).
The Prius has a top speed of 160 km/h (100 mph) and accelerates to 100 km/h (62mph) in 13.4 seconds.
The Prius battery is only charged from the engine and does not use an external socket. It is thereforerefueled with petrol only, in the conventional way.
The Toyota Prius, is the vehicle whichreally brought hybrid vehicles to publicattention. Within two years of its launchin 1998 it more than doubled thenumber of electric vehicles on the roadsof Japan.
The Prius uses a 1.5 litre petrol engineand a 33kW electric motor either incombination or separately to producethe most fuel-efficient performance.
The Toyota Prius, Parallel Hybrid
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The Modern Hybrid
Parallel hybrid: energy is assembled mechanically.
Credit: Honda
Source: Mechanical
Engineering Magazine
online, April 2002.
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The Modern Hybrid
The Toyota and Ford dualhybrids are parallel designs with
some series modes.
The Honda mild parallel hybrid uses a small electricmachine to recover braking
energy and allow easy engine start
and stop.
Source: Toyota
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Hybrid Electric Cars -- Production
Honda Insight
Toyota Prius
Source: www.familycar.com
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Hybrid Electric Cars -- Production
Honda Civic
Toyota Prius
Source: www.auto-sfondi-desktop.com
Source: www.theautochannel.com
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Hybrid Electric Cars -- Production
Ford Escape
Lexus Hybrid SUV
Nissan Altima Hybrid
Source: www.edmunds.com
Source: msnbcmedia.msn.com
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Motives for Electric Vehicles
Energy flexibility.
Energy efficiency.
Reduced emissions.
Cleaner, quieter carswithout performance changes.
For electric cars, the ultimate fuel source is hydro,wind, nuclear, or any electricity source.
Emissions are eliminated, or moved to a central plantwhere large-scale control is possible.
www.valvoline.com
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Motives for Hybrid Vehicles
Overcome energy storage (range) and power(fuel rate) problems.
Good designs yield double the fuel economy.
In principle, it might be possible to triple thefuel economy.
The overall efficiency is similar to thermal
electric power plants.
Exhaust emission management is simplified.
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Emission Improvements
Five characteristics that reduce HEV emissions:
1. The engine is smaller; electric
motor helps with peaks.
2. Shut off engine when the car stops.
3. Choose to operate engine only at
its highest efficiency.
4. Use battery energy to prepare emission controls for cold
starts.
5. Recover braking energy to batteries.
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Efficiency and Emission
Improvements Efficient alternative cycles.Atkinson cycle
Brayton cycle (turbines)
The Prius achieves90% reduction inemissions; no sacrificein performance.
Large improvements in hydrocarbons andcarbon monoxide.
Possibility of zero-emission electric
operation.
Volvo turbine hybrid prototype
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Electric Vehicle Emissions Aspects
Just moves emissions to a power plant.
But:
Opportunity for large emission controlinfrastructure
Resource flexibility
Higher overall system efficiency.
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Emission Improvements: Electric
Emission impacts depend on generationresource mix.
Basis from average U.S. mix given here.
Large-scale reductions (>90%) inHydrocarbon emissions
Carbon monoxide
Oxides of nitrogen
Substantial reductions in carbon dioxide.
Small reductions in oxides of sulfur.
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Energy Issues: Electric and Plug-In
Energy flexibility: an electric or plug-in hybridcan run on nuclear, solar, wind, or other
carbon-free resources.
Key attribute:time shifting of load.
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Energy Issues: Electric and Plug-In
Electric and plug-in hybrid cars provide a newtype of large-scale flexible load.
Battery charging can be adjusted dynamicallyto help with the system match.
Possible storage resource with major benefits.
Shift load into night hours.
Nissan.com
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Power Requirements
Full size car, 4000 lb loaded, axle needs:
20 HP on level road at 65 mph.
55 HP to maintain 65 mph up a 5% grade.55 HP to maintain 95 mph on level road.
Peak power of about 150 HP to provide 0-60 mphacceleration in 10 s or less.
Plus losses andaccessories.
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Power Requirements
Easy to meet performance requirements withelectric drive train except range and refuel.
Better tradeoffs: not as much oversizing isrequired.
Hybrid design: engine delivers average needs,electric motor can manage peaks.
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Energy Costs
Take gasoline at US$3.30/gallon, and a car thatachieves 30 miles/gallon.
Energy cost is $0.11/mile.
Now take electricity at $0.12/kW-h, and a carthat consumes 200 W-h/mile.
Energy cost is $0.024/mile.
Much cheaper with night charging.
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Energy Costs
Expensive solar electricity (such as $0.30/kW-h), still well below hydrocarbon fuel.
Source: Evergreen Solar
PV Module Costs
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Solar Power
Solar-to-vehicle is interesting:Photovoltaic module captures roughly 20% of sunlight
energy.
If a residential system is used to charge a car, this solarenergy becomes primary minimal intermediate
processing.
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Charging Requirements
For plug-in charging, rates are limited byresource availability.
Residential:
10 A, 220 V outlet, about 2 kW maximum.
50 A, 240 V outlet, up to 10 kW.
Commercial:
50 A, 380 V three phase, up to 30 kW.
All are well below traction drive ratings.
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Architectures -- Series
Probably favoredfor plug-in hybrids.
Rating 100%
Rating 30%
Rating 10%
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Implications
Battery charging: equipment is smallcompared to car systems integrate into
vehicle.
Even a modest charger, 2 kW, can recharge amodest plug-in hybrid in a few hours.
Minimal infrastructure implications.
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Myth: Stepping stones
{Hybrid, electric, fuel cell} vehicle designs are a steppingstone toward longer term {hybrid, electric, fuel cell}
vehicles.
Fact: ALL vehicle designs are increments toward peoplesaspirations for personal transportation.
www.xtec.esSource: msnbcmedia.msn.com
h d
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Myth: Industry as a group is converging
toward the best solutions
Existing designs are proven and capable, and should beemulated.
Fact: Hybrids on the road have not achieved the
performance levels and efficiencies ofknown electric car designs.
Brad Waddell. Used by permission.www.popularmechanics.com
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Near-Term Trends
The plug-in hybrid is entering the market now.
A series design like the Chevrolet Volt has verysignificant promise.
Electric vehicle designs have a definite place.
Expect the Nissan Leaf as 2011 develops.
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Near-Term Trends
Emissions impacts are large and will be moresubstantial as resources shift toward
renewables.
Renewables and plug-in vehicles complementeach other well.
Efficiency is very high compared to biofuels,
and compares favorably with petroleum.
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Hybrid Cars- Electric Cars-
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Hybrid Cars Electric Cars
Fuel Cell Solution with Zero Emission
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Daimler Chrysler FC 86 kW Ballard- H2, 350 bars, hybrid- 60 units
manufactured, of which ~ 30 units in operation as of Sept 2005 (15 in the US)
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Hydrogen as An Energy Vector
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- Where does hydrogen come from?
- What devices are used for hydrogen storage?- What is hydrogen specific energy?
Hydrogen as An Energy Vector
Hydrogen is a promising candidate for energy storage, in terms of being stored inreservoirs as petroleum.
Specific Energy of Various Combustibles
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Hydrogen Sources
Hydrogen does not exist in natural form
Hydrogen can be get from:
Fossil: from oil, natural gas, coal
Electricity: nuclear, photovoltaic, wind, hydraulic, geothermal+ electrolysis
Heat: Thermochemical process
Photons: photo-electrolysis, photobiology, phtosynthesis +biomass transformation and fermentation
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H2 Applications
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H2 Applications
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2nd Week: Storage batteries for solar and wind systems
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Guillaume FONTES
Brief state of art of storage solutions
Some reminders about Accumulator technologies: Lead Acid, NiMH, Lithium ion
Stationary batteries for wind and solar applications
Simple application examples :
A remote site
Solar pumping
Application of the studied wind turbine system
Hybridization of the DC bus with an accumulator: energy management strategy
g yApplication to the wind turbine system
3rd Week: Photovoltaic systems and hybridization
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Stephan ASTIER
Photovoltaic systems
Hybrid (Wind & Photovoltaic) systems
Hybridization of energetic systems : the principles
To be completed!
y y
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Whole objective of the education seminar : modeling & 20 Sim analysis
f PV Wind h b id t m f l l t ifi ti n
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of a PV-Wind hybrid system for rural electrification
NB: this application is studied by LSE Tunis (Tunisia) in Cooperation with LAPLACE Toulouse (France)
Iol
PM
SMbuck
buck Batterie
s
48 V
Ipv
diode
rectifier
inverter
DC/AC
Iond
GPV
IBat
Wind turbine
w
pv
Bus DC 48V
AC
Charge
s
grid230V/50hz
LAPLACE/GENESYS Facilities : grid connected hybrid
PV wind system with storage on 48V DC bus
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PV-wind system with storage on 48V DC bus
Wind turbine emulator
PV Emulator
DC Low Voltage bus
sources interconnection
Dspace 1104
Pref. pv
Pref .ol[V ; I]
[Cde]
Pol
Ppv
Pbat
Variable DC
load
Supervisor
Pload
Lead acid
Accumulator
Grid inverter
230V
50Hz
grid
Pinv
A typical example of integrated design in a multi-disciplinary context :
reverse osmosis desalination unit powered by PV Wind hybrid system
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Chimie Electricit
HydraulicsPressureflow
Thermics
5 domains, 8 inter-domain crossing
ChemicalD-enthalpymolar flux
ElectricityVoltageCurrrent
MechanicsTorque,ForceSpeed
reverse osmosis desalination unit powered by PV-Wind hybrid system
Multi-disciplinary approach : thinking by energetic analogies High level couplingsIntegrated design : Architecture Sizing - Management
PPVE Posmosis
PPVE
-Ptot
Hybrid PV-WindPower system
AdductionPump
Padduction
wellwell
Padd-Padd PurePure
waterwater
rejectedrejected
waterwater
Keywords :
StoredStored
waterwater
HP pumping
Inverse osmosis
desalination device
NB: this application is studied by LSE Tunis (Tunisia) in Cooperation with LAPLACE Toulouse (France)
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1 ) Basics on Bond Graphs (BGs)
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Bond-Graphs origin
- Invented at MIT (Boston) by H. Paynter (61), formalised by D. Karnopp et R.Rosenberg- Arrived in Europe end of 70 (Pays Bas, Twente), France (Alstom)
Used in industry by :- Automotive (PSA, Renault, Ford, Toyota), EDF, Thomson, CEA, Airbus, GM,Hlion, CNES,
Main Characteristics and potentialities Modeling of Power/Energy transfers => universal language Unified formalism for any physical domain (based on energetic analogies) BGs describe system architecture : based on localized parameters modeling BGs Facilitate functional & structural decomposition of complex systems : wordBG Causal property inside : a prime importance for energy systems Derivation of Mathematical Structure (transfer functions, state equations)Warning on conflicts of association Structural Analysis (observability, controllability, stability), modal analysis(model reduction)
1 ) Basics on Bond Graphs (BGs)
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BGs approach : for any physical system energy is continuous & power is conservative
e : effort
f : flux
Positive way :
P = e.fP = v.i
A B A B
i
v
V VF
v
i
F
V
P = F.V
A B
e
q
f
p
I
C
generalised variables electrical variables
q
i
f
L
C
v
===
==t
0
d)(f).(eq.q.pE
i.vf.eP
f
Paynters tetrahedron
1 ) Basics on Bond Graphs (BGs)
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The Bond Graph : an homogeneous & multi domain modeling approach
Domains Effort (e) Flow (f) Moment (p) Displacement (q)
Electricity Voltage (V) Current (A) magnetic flux (Wb) Charge (C)
Mech Translation Force (N) speed (m/s) Impulsion (Ns) Displacement (m)
Mech Rotation Torque (N.m) speed (Rd/s) Impulsion (Nms) Angle (Rd)
Hydraulics Pressure (N/m2) Vol flow (m3/s) impulsion of P Volume (m3)
Magnetics M.M.F (A) flux derivative (V) xxxx Flux (Wb)
Chemical Chemical Potential Molar Flow xxxx Molar mass
Thermodynamics Temperature entropic Flow xxxx entropy
Acoustics Pressure (N/m2) Vol flow (m3/s) Impulsion Volume (m3)
1 ) Basics on Bond Graphs (BGs)
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Word Bond Graph : functional & Structural decomposition allows fixing interfaces - Power Bonds
- Information signals
Windturbine
W
C V
I
Generator
V
I=
=
TS.
~
=
V
I
V
I
DC Bus
0
==
V I
V I
DH z
AccumulatorT
S.
V
I=
~
V
IMotor PumpW
C inverseosmosis
P
Q
TS.
Chimie Electricit
HydraulicsPressure
flow Thermics
5 domains, 8 inter-domain crossings
ChimicsD-enthalpyMolar flux
ElectricityVoltageCurrent
MechanicsTorque,ForceSpeed
PV
cell array
1 ) Basic elements of BGs (monoport case)
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e(t)
f
e(t)
f
Electrical equivalenceMonoports Basic elements
Effort
Source
Flow
SourceSf :F(t)Se :E(t)
symbol parameter name
e
fR: R1
R element: generic relation between effort % flux : R (e,f) = 0
o Linear case : e = R1.f
o Electricity : resistance : v = R.i
o Mechanics : friction, damping effect: T = F. (rotation)
o Hydraulics : restriction, load loss : P = R1 . Q.|Q|
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Junctions (power conservative)1 ) Basic elements of BGs (mono- port case)
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Junctions (power conservative)
OJunction : Common effort
e1
f1e2
f21
e3 f3
e1
f1
e2
f20
e3 f3e1 = e2 = e3
f1 = f2 + f3
S(input flow) = S(output flow)
e1 = e2 + e3
f1 = f2 = f3S(input efforts) = S(output efforts)
Electricity: circuit nodes
Hydraulics: pressure nodes
Electricity: voltage drop, circuit mesh
Mechanics: speed nodes
Hydraulics : pressure drop
Electrical equivalenc
0 C
R
1
R
1Junction : Common flow
Junctions (power conservative)1 ) Basic elements of BGs (mono_port case)
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e1
f1
e2
f2
m
TF e1 = m.e2f2 = m.f1
e1
f1
e2
f2
r
GY
e1 = r.f2e2 = r.f1
electricity : transformer, switching cell
mechanics : pulley, gearing (R1.1 = R2.2)
hydraulics : jack (P=F/S, Q=S.V)
electricity : hall effect sensor
electromechanical transformation
Transformer junction : TF
Gyrator junction : GY
E = f.
Cem = f.I
Junctions (power conservative)
1 ) Basic elements of BGs (mono- port case)
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Dee
f = 0
Dfe = 0
f
Multiports : representation of coupled circuits, coupled energy (thermodynamics),
Vector model (ex: 3D mechanics)
Example of a I multiport : coupled inductive circuit
u1 u3
u2
=
3
2
1
.
33231
23221
13121
3
2
1
i
i
i
LMM
MLM
MML
f
f
f
I: [L]I: [L]
I: [L]
fff 1
2
1)( = LE T
Detectors : link between energy / signal parts (links with control unit)
No power involved information link
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1 ) Rules for establishing BGs : electricity domainthe academic way
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0Se:E 1
C:C I:L
R:Ra
1ou 0
1ou 0
ATTENTION
the academic way
:
2. Choose a reference potential
1. Define a positive convention for currents in each element of the graph
3. Choose a number for each circuit node and represent it on the BG by a 0 junction
4. Represent voltage drops across each element by introducing a 1 junction with 3 bonds, two
being linked to the 0 junctions in the neighborhood of each considered element
5. Place elements (R,C,I) on the free bonds of the 1 junctions
6. Simplification of the BG : eliminate all 0 junctions linked with reference potentials. Then,supress all free bonds linked with those reference nodes. Finally, eliminate all 0 and 1 junctions
with only 2 bonds without power inversion :
E
Ra
C
N0
N1 N2
L
1 ) Rules for establishing BGs : electricity domainthe branch & mesh way
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:
E
Ra
C
N0
N1 N2
L
2. Represent the mesh (series connection) E, Ra, ZL//C by a 1 junction (iso-current) on which one connects those 3 elements
Se:E 1
R:Ra
Z:ZL//C
1. Consider the 2 branches in // (C,L) as a macro component ZL//C.
0
C:C I:L
3. Represent by a 0 junction (iso-voltage) the 3 parallel branches (E,Ra) // C // L:
Se:E 1
R:Ra
0
C:C I:L
the branch & mesh way
Do it yourself on 20Sim!
1 ) Rules for establishing BGs : mechanical domain(adapt for mechanical rotation)
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MF(t)
K
VM
4. Simplification of the BG : eliminate all 1 junctions with null speed (mechanical reference).Then simplify the BG by eliminating all junctions with only 2 bonds with the same orientation.
== 0)(0.)(:)(1 tan rentranttsorKM
M eeFFdt
dVMtFVJ
== dtVKFVVKCJ MKMM )0(;00)0(:)/1:(0
V = 0
3. Between two successive 1 junctions related to different speeds, insert a 0 junction with threebonds oriented to make appear the correct relative speed on the free bond. Place R & C elementson this free bond. If several elements have the same relative speed, insert a 1 junction on the free
bond of the 0 junction then insert these elements.
0
R:VM-0
F
SE:F(t)
2. For each connection between elements, affect an absolute speed vector and associate a 1junction. Place I elements on each 1 junction, then affect force sources (dont forget gravity forcefor vertical axis moving) and speed sources.
1 1
I:M
(V=0)
(VM)
1. Orientate the translation axis (position & speed). The orientation of power bonds follows thisorientation.
x > 0
V > 0
0C:1/K
VM-0
F
K
( p )
1 ) Rules for establishing BGs : mechanical domain(adapt for mechanical rotation)
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R:F
SE:F(t) 1
I:M
C:1/K
F
K
4. Simplification of the BG : eliminate all 1 junctions with null speed (mechanical reference).Then simplify the BG by eliminating all junctions with only 2 bonds with the same orientation.
3. Between two successive 1 junctions related to different speeds, insert a 0 junction with threebonds oriented to make appear the correct relative speed on the free bond. Place R & C elementson this free bond. If several elements have the same relative speed, insert a 1 junction on the free
bond of the 0 junction then insert these elements.
2. For each connection between elements, affect an absolute speed vector and associate a 1junction. Place I elements on each 1 junction, then affect force sources (dont forget gravity forcefor vertical axis moving) and speed sources.
1. Orientate the translation axis (position & speed). The orientation of power bonds with followthis orientation.
MF(t)
K
VMV = 0
x > 0
V > 0
== 0)(0.)(:)(1 tan rentranttsorKM
M eeFFdt
dVMtFVJ
== dtVKFVVKCJ MKMM )0(;00)0(:)/1:(0
1 ) Rules for establishing BGs : electricity vs mechanical
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MF(t)
K
VM
R1
L1
C1
U
1SE:F(t)
I:L1 ou M
C:C1 ou 1/K
R: R1 ou
Energetic analogies : Electricity Mechanics2..
2
1VC 22 .
1.
2
1..
2
1F
KxK
=
2..2
1IL
2..2
1VM
R,C,I on 1 junction R,C, on 0 junctionI on 1 junction
Kirchoff analogies : Electricity Mechanics
0)( = nodemecF0)( = nodeelecI
1 . Photovoltaic cell example: do it yourself
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Vp
Ip
ICC ID
Rsh
Rs
= 1.
exp.TK
VII D
sD
VD
Ip
Vp
2nd or 3rd week with Steph and Guillaume
4) Rules for establishing BGs : introduction to hydraulics
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Rules for BG setting (very close to electrical domain)
- Set a way of flow defined as the positive way of power;
- Seek all nodes with different pressures and place a 0 junction for each;
- Place a 1 junction between two 0 junctions to set the pressure drop and place elements withthe corresponding pressure drop;
- Choose a pressure reference (generally Patmosphere) and delete the associated 0 junctions withall linked bonds. Then, simplify the BG:
Example : system pump-jack of an EHA
Volumetric
pump
Hydraulic jack
W(t) Qp
P1v
P2v
Qp
load
Tp
D
TF
DPp
Qp
DF
Vv
S-1
TFDPvQv
DPp
Volumetric pump Hydraulic jack
Qp(m3/s) = D (m3).(Rd/s)
Tp = D.DPp.
DPv (N/m2) =DF(N)/S(m2)
Q(m3/s) = S(m2). Vv(m/s)
Displacement
Jack section
Jack rod velocity
4) Rules for establishing BGs : hydraulic domain
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F2
Vv
Rules for BG setting (very close to electrical domain)
- Set a way of flow define as positive way of power;
- Seek all nodes with different pressures and place a 0 junction;
- Place a 1 junction between two 0 junctions to set the pressure drop and place elements withthe corresponding pressure difference;
- Choose a reference pressure (generally Patmosphere) and delete the associated 0 junctions withall linked bonds. Then, simplify the BG:
Example : system pump-jack of an EHA
Volumetric
pump
Hydraulic jack
W(t) Qp
P1v
P2v
Qp
load
1D
TFSf:W(t)Tp
WDP
Qp
load
R:Rch
DFVv
P1p
Qp
P2pQp
0
0
(P1p)
(P2p)
1
R:Rch
1
P1v
Qv0
(P1v)
S-1
TF
1
F1Vv
0
(P2v) STF
C:V/b
C:V/b
Fluid compressibility injack chamber
Load losses
4) Rules for establishing BGs : hydraulic domain
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Rules for BG setting (very close to electrical domain)
- Set a way of flow define as positive way of power;
- Seek all nodes with different pressures and place a 0 junction;
- Place a 1 junction between two 0 junctions to set the pressure drop and place elements withthe corresponding pressure difference;
- Choose a reference pressure (generally Patmosphere) and delete the associated 0 junctions withall linked bonds. Then, simplify the BG:
Example : system pump-jack of an EHA
Volumetric
pump
Hydraulic jack
W(t) Qp
P1v
P2v
Qp
load
1D
TFSf:W(t)Tp
WDP
Qp
P1p
Qp
P2pQp
F2
Vv
load
R:Rch
DFVv
1
R:Rch
1
P1v
Qv0
(P1v)
S-1
TF
1
F1Vv
0
(P2v) STF
C:V/b
C:V/b Simplified 2 lines BG
1 st Week: Bond Graphs based wind turbine energy system design
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Xavier ROBOAM, Guillaume FONTES
1) Some reminders about Bond-Graphs Basics (X. Roboam)
2) Some examples on Bond graph modeling and 20 Sim simulations (X. Roboam & G. Fontes)
a. Simulation of a current controlled DC DC buck chopper;
b. Simulation of a DC machine : motor generator mode
3) Some reminders about Wind Turbine systems connected to a DC electrical machine;
a. About aerodynamics and energy efficiency of wind turbines
b. Simulating wind turbine torque/speed curves with inertia and defining a load torque
characteristic: to analyze generator / load compatibility;
c. Short reminders about causality issues
d. MPPT control of a wind turbine system connected to a current controlled DC generator
4) System study of a wind turbine system connected to a low voltage 48V DC bus (X. Roboam)
a. System description and analysis
b. DC equivalent modeling of a PM synchronous generator diode rectifier device coupled on low
voltage (48V) DC bus
5) If time remaining in the first week, study of a grid connected wind turbine system coupled through a
hybrid 48V DC bus.
2. Model of a switching cell : functional model
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* Instantaneous functional model as an electrical transformer (no loss)
If h : state of the cell (high = 1; low = 0)
Vs = h.VeIe = h .Is
Ve
Ie
IsTH
TB VsVs
Is
Ve
Ie
h-1
MTFSe:Ve Sf:Is
= a.
= a-1.
Vs
Is
Ve
Ie
a-1
MTFSe:Ve Sf:Is
Ton Tc
Vs
t
=Ton/Tc.
Ve
* Average functional model as an electrical transformer (no loss)
duty cycle
2. Model of a switching cell : functional model
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* Logic of controlIe
VeIs
cb Vs
ch
DB
DH
Is > 0 => Sign(Is) = 1 ; Is < 0 =>
Sign(Is) = 0 Ti On => ci = 1 ; Ti Off => ci = 0
* Logic synthesis :
bh cIsc .)Sgn(+=h
Time Delay (dead times) taken into account Discontinuous Conduction (Is = 0) cannot be simulated Losses (switching & conduction) possible to estimate
ifh : state of the cell (high = 1; low = 0)
Vs = h.Ve
Ie = h .Is
Ve
Ie
IsTH
TBVs
c h cb Sign(Is) Conduction Vs
1 0 1 Th Ve0 1 1 Db 00 0 1 Db 01 0 0 Dh Ve
0 1 0 T B 0
0 0 0 Dh Ve
2. Model of a switching cell : example of a boost converter
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Ve
TH
TB
LIchC
IL
Is
VC
Ve
Model with instantaneousvaluesVe = (1-CB).VC
Is = (1- CB).ILI:L
Se:Ve 1 MTF
1-CB0
C:C
Sf:IchVCVe
IL Is
CB
Average model : replace CB bya :
Ve = (1-aB).VCIs = (1-aB).IL
CB=0
Ve
THL Ich
CIL
Is=IL
VC
Ve
Simplified example : TH permanently off, TB driven b
Ich
Ve=0Ve
L
CB=1
C
IL
Is = 0
VC
2. a) Model & Simulate a current controlled buck chopper
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Ve
Ie
ILTH
TBVs
L R Do it yourself on 20Sim!2a-1: with constant a=0.52a-2 : with current control
2. b) Rules for establishing BGs : electromechanical domainElectromechanical conversion
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U
ImSe
u1 u2 u3 F m
0 1 0 1 0 GY 1
R: Rm
Rm Lm
U
m
I: JmI: Lm
U = Rm.Im + Lm.dIm/dt +F
m
Tm = F.Im = Fm.m +Jm.dm/dt ;
mmE W= .
mmIT .=
Em
Im
Cm
WmTload
0
1(=0)
R: Fm
U
Im
Se
R: Rm
I: Lm
1
I: Jm
Em
Im
Tm
m
GY 1
R: Fm
Tload
Tload
Jm,Fm,F
Tem
m
2. b) Model of a chopper fed DC machine
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Vm
DC Machine model
1 1Se:Vm Se:Tload
I:LmDCM
load
R:Rm
f
GY
R:Fm
I:Jm
DC Machine Model fed by a bridge structure of chopper Functional model
Se:Ve 0
hG-1
MTF
hDMTF
1 MCC
VeIe1
Ve
Ie2
Ve
Ie
VGBIm
VDBIm
VmIm
MCCVe G D
H
B
T1
T2 T4
T3
IeIe1 Ie2
Vm
Im
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2. b Model & Simulate a DC machine
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Ve
Ie
DCM
load
torque
Do it yourself on 20Sim!Motor & generator mode
1 st Week: Bond Graphs based wind turbine energy system design
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Xavier ROBOAM, Guillaume FONTES
1) Some reminders about Bond-Graphs Basics (X. Roboam)
2) Some examples on Bond graph modeling and 20 Sim simulations (X. Roboam & G. Fontes)
a. Simulation of a current controlled DC DC buck chopper;
b. Simulation of a DC machine : motor generator mode
3) Some reminders about Wind Turbine systems connected to a DC electrical machine;
a. About aerodynamics and energy efficiency of wind turbinesb. Simulating wind turbine torque/speed curves with inertia and defining a load torque
characteristic: to analyze generator / load compatibility;
c. Short reminders about causality issues
d. MPPT control of a wind turbine system connected to a current controlled DC generator
4) System study of a wind turbine system connected to a low voltage 48V DC bus (X. Roboam)
a. System description and analysis
b. DC equivalent modeling of a PM synchronous generator diode rectifier device coupled on low
voltage (48V) DC bus
5) If time remaining in the first week, study of a grid connected wind turbine system coupled through a
hybrid 48V DC bus.
3) Towards a wind turbine energetic behavior
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vV W
PMSM
ai
abu
dcU
dcoI
C
dcI
batR
batE
L batI
emT =
=
=
3) Reminders on wind turbines energetic behavior
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- Controlled generator (C.G) connected to the grid/load through a power electronic
deviceGSC.G
Taero(N.m)
W(rpm)
Torque(N.m)
MPPT: Maximum Power Point Tracking
3...
2
1. VSCP Paero =
3) Aerodynamics of wind turbines
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Power coefficient CP versus tip speed ratio
Tip speed ratio:
max
p
p
aC
C =h
Aerodynamic efficiency :
ventV
R W=
.
pCC = )(
Torque coefficient:
Betz Limit
~ 0.47
3 pales
lopt ~ 6-7
CP
fastslow
3
...2
1
. VSCP
Paero =
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3.b) Modelling & 20simulation of a wind turbine
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Torque loadMSe:Twt()
I:JWT
1
Wind turbine
Vwwt
Twt
Do it yourself on 20Sim!
0 5 10 15 20temps {s}
-30
-20
-10
0
10
20
30
40
50
60
v_vent
TloadWrotTwt
)(....2
1)(
2
= CVRSVT vVw
Vw
wt
.optKloadT
=
3
3
2
1
opt
RSopt
PC
optK
=
3.c) BG model of a wind turbine driving a equivalent DC generator
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N
TFMSe:Twt()
I:JWT
1
Wind turbine
Vv 1
I:Lm
R:Rm
f
GY1
R:F
m
I:J
mGCC
Causality conflict
Turbine Speed
wt
Twt
The causality conflict due to the coupling of both inertia I elements can besolved by gathering the 2 I elements (generator inertia neglected or merged withthe turbine inertia);
0
C:Cbus
)(....2
1
)(
2
= CVRSVT vVw
Buck
DC-DC converter
MTF
a,CH VoutVbus
ILIbus
I:L
1
load
Current control
storage
batt
0
Multiplier
Generator Speed
G
TG
3. c) Reminders about Causality in Bond- Graphs
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f
A Be
fBA
e
f
Causality stroke : close tothe element for which theeffort is a given data
A Be
BA
e
f
Convention : causal strokeA imposes an effort (e) to B, whose effect sets the flow f towards A
Do not confuse causality wayWith power transfer orientation !
AccumulatorV isimposed
Effort,V
Flux, I
B imposes an effort (e) to A, whose effect sets the flow f towards B
3. c) Causality in Bond- Graphs
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SCAP procedure (Sequential Causality Assignment Procedure)
Mandatory causality for sources
fSf :I(I>0 ou I0 ou U
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Causality for junctions
0 Junction (common effort)which effort imposes its value to the others ?
=> Only 1 causal stroke close to the 0 junction
TF Junction: only 1 causal stroke close to the TF junction
mTF
1 2 mTF
1 2 mf
f
mee
2:1
1:2
=
=
1.:22.:1
fmfeme
==
01
2
3
Causal writing
e2 := e1e3 := e1f1 := f2+f3
1 Junction (common flux) f1 := f2
f3 := f2e2 := e1-e3
1
1
3
2
GY Junction
2.1 fre
1.2 fre :=
:=
rGY
1 2r
GY 21
f1 := e2/rf2 := e1/r
which flux imposes its value to the others ?
=> Only 1 causal stroke far from the 1 junction
: 0 ou 2 causal stroke close to the junction
3. c) Causality in Bond- Graphs
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Sequential Causality Application Procedure (SCAP)
1: Affect mandatory causality for sources and for non linear elements R
2: Affect integral causality for C & I elements
3: propagate the causality for junctions
4. propagate causality for R elements
E
Ra
C
N0
N1 N2
L
Example for Sequential Causality Application (SCAP)
3. c) Causality in Bond- Graphs : a prime importance for energetics
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Characteristics of causality in energetic systems (one of major interest of BGs!) Cause effect relationships shown off ;
Analysis of interactions (causal path and loops);
Display warnings when non physical (energetically) associations
Possibilities of systemic analysis : mode (simplification of models) &
structural analysis (controllability, observability,);
structure of mathematical equations :
integral (physical) causality : Ordinary Differential state Equations ;
existence of derivative causality: Algebro Differential state Equation ;
systematic equation derivation (state equations, transfer function/
matrix)
3.d) BG model of a wind turbine driving a equivalent DC generator
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MSe:Twt()
I:JTo t
1
Wind turbine
Vv 1
I:Lm
R:Rm
f
GY1
R:F
m
I:J
mGCC
Turbine/Generator Speed
wt
Twt
the 2 I elements have been gathered : no more causality conflict Considering a direct driven generator (without multiplier) : OK for low powers
0
C:Cbus
)(....2
1
)(
2
= CVRSVT vVw
Buck
DC-DC converter
MTF
a,CH VoutVbus
ILIbus
I:L
1
Current control
load
storage
batt
0
Towards MPPT for better efficiency !!!
3.d) MPPT from power control
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Method based on the Cp()characterisitc knowledge: power
control
power reference:
CP()=CPopt(opt) => Popt = Kopt.opt
3
Power rotation speed characteristic
withwith
Maximal power obtained if:
kPref kW
Ws
rad
WP
optopt fP W=
1W
1P
2W
2P
3W
3P
opt4 W=W
opt4 PP =
1
2 3 4
(opt)
Cp(opt
)
3
3RSopt
P
C
2
1optK
=Pref= Kopt.3
Kopt.3
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3.d) MPPT from torque (current) control
3opt
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Torque (current) reference:
CP()=CPopt(opt) => Popt = Kopt.opt
3
2.optK
optPrefemT
==
2W= optKrefemT
opt
wtwt
3ref
em TTT =
opt3
3
Convergence of algorithm
2
2W
2wtT
2refemT
1wtT
1W
1
1refemT
Ws
rad
mNT optopt fT W=
(opt)
Cp(opt)
withwith
Maximal power obtained if:
Method based on the Cp()
characteristic knowledge: torquecontrol
3
3
2
1
opt
RSopt
PC
optK
=
Torque rotation speed characteristic
3.d) BG model of a wind turbine driving a equivalent DC generator
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MSe:Twt()
I:JWT
1
Wind turbine
Vv 1
I:Lm
R:Rm
f
GY1
R:F
m
I:J
m DCG
wt
Twt
(a) BuckDC-DC converter
MTF
a,CH0
C:Cbus
VoutVbus
ILIbus
I:L
1
)(....2
1)(
2
= CVRSVT vVwCurrent control
& MPPT
3
3
2
1
opt
RSopt
PC
optK
=
batV
optPrefL
I =
= .optKoptP Do it yourself& good luck on 20Sim!!!
load
storage
batt
0
X i ROBOAM G ill FONTES
1 st Week: Bond Graphs based wind turbine energy system design
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Xavier ROBOAM, Guillaume FONTES
1) Some reminders about Bond-Graphs Basics (X. Roboam)
2) Some examples on Bond graph modeling and 20 Sim simulations (X. Roboam & G. Fontes)
a. Simulation of a current controlled DC DC buck chopper;
b. Simulation of a DC machine : motor generator mode
3) Some reminders about Wind Turbine systems connected to a DC electrical machine;
a. About aerodynamics and energy efficiency of wind turbines
b. Simulating wind turbine torque/speed curves with inertia and defining a load torque
characteristic: to analyze generator / load compatibility;
c. Short reminders about causality issues
d. MPPT control of a wind turbine system connected to a current controlled DC generator
4) System study of a wind turbine system connected to a low voltage 48V DC bus (X. Roboam)
a. System description and analysis
b. DC equivalent modeling of a PM synchronous generator diode rectifier device
coupled on low voltage (48V) DC bus
4.a) Medium voltage (600V) DC bus coupling of wind & PV hybrid systems
Two structures are convenient
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NB: this application is studied by LSE Tunis (Tunisia) in Cooperation with LAPLACE Toulouse (France)
Two structures are convenient
vV
MS
V600
busE
batI
PWM rectifierPWM rectifier
MS
dcI
dcU
Diode rectifier
C
E (t)
T (t)
batI
E (t)
T (t)
Boostchopper
Hacheur
survolteurBoostchopper
vV
1 st structure 2 nd structure)
VeryVery efficient but not cheap!efficient but not cheap!
PVPV--GenGen
PVPV--GenGen
efficient,efficient, reliablereliable and cheapand cheap
consideredconsidered asas betterbetter forfor lowlow power WT (power WT (MireckiMirecki
Wind Turbine Savonius
V600
busE
4.a) Low voltage (48V) DC bus coupling of wind & PV hybrid systems
Two structures are convenient: 48V is the stadard for stand alone systems
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NB: this application is studied by LSE Tunis (Tunisia) in Cooperation with LAPLACE Toulouse (France)
Two structures are convenient: 48V is the stadard for stand alone systems
V48
busE
1 st structure
VeryVery efficient but not cheap!efficient but not cheap! efficient,efficient, reliablereliable and cheapand cheap
consideredconsidered asas betterbetter forfor lowlow power WT (power WT (MireckiMirecki
vV
MS
batI
PWM rectifierPWM rectifier
E (t)
T (t)
BuckchopperPVPV--GenGen
2 nd structure)
MS
dcI
dcU
Diode rectifier
C
batI
E (t)
T (t)
Buckchopper
Buck
chopper
vV
PVPV--GenGen
Wind Turbine
V48
busE
Wind Turbine
FirstFirst weekweek
4.a) DC equivalent modeling of a PM synchronous generator diode rectifier device coupled on low voltage (48V) DC bus
di d
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NB: this application is studied by LSE Tunis (Tunisia) in Cooperation with LAPLACE Toulouse (France)
Iol
PM
SMbuck
48 V
Battery
diode
rectifier
DC loads
Iond
IBat
Wind turbine
w
DC Bus 48V
0 5 10 15 20
temps {s}
Pol_m
ax{W}
Pol_M
PPT{W}
0
200
400
600
800
1000
PWTopt
JbatmpptE,wtoptE
%4,11%E =
Current control
& MPPT
EWT-opt
Pbatmppt
4.b) DC equivalent model of PM synch generator connected to adiode rectifier
di d
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Iol
PM
SMbuck
Batterie
s
48 V
diode
rectifier
DC loads
Iond
DC equivalent
modelling
IBat
Wind turbine
w
DC Bus 48V
Tem M, M
PMSG (Generator)E
sR
s Ls Is
V
Diode
Rectifier IDC
UDC
Tem M, M
DCG (Generator)
EDC
RDC
LDC
IDC
UDC
4.b) DC equivalent model of PM synch generator connected to adiode rectifier
Diode
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Tem M, M
PMSG (Generator)Es Rs Ls Is
Vs
Diode
Rectifier IDC
UDC
Tem M, M
DCG (Generator)
EDC
RDC
LDC
IDC
UDC
Rs Is
Ls cycl
j Ls cycl
Is
Es
Vs
RsI
s
Is Vs
Es
RsIs
jLs cyclIs
Es
Es
Vector diagram of synchronous generatorWith diode rectifier : cos j = 1
4.b) DC equivalent model of PM synch generator connected to adiode rectifier
V E j L I R I
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s s ss scycl sV E j.L . .I R .I= 2 2s s scycl s s sV E (L . .I ) R .I=
' 2 2
s s scycl sE E (L . .I )=
DC sf
3 6U V=
DC sf I I
6
=
2
2
DC s scycl DC s DC
6 6U E L I R I
3 6
=
s DC s
2
DC scycl
2
DC s
3 6E E
6L 3 L
6R 3 R
=
=
=
emM p ex s
s p ex M
C 3 n I cos
E n
=
= W
em em M M s sP C 3 E I cos= W = sDC s p ex M p DC M
emM emM
sDC s
p ex p DC
3 6 3 6E E n n
C CI I
3 n cos n cos6 6
= = W = W
= = =
DC ex
3 6 =
cos j= 1
4.b) DC equivalent model of PM synch generator connected to adiode rectifier
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Electromechanical conversion
emM p DC sDC
sDC p DC M
C n I cos
E n
=
= WGYEsDC
IsDC
CemM
WMsDC sDCI ' I cos=
Magnetic reaction
22
sDC sDC DC DCE ' E L I= sDC sDCE ' E cos= or
sDCsDC
I 'I
cos= TF
EsDC
IsDC
EsDC