smart integration of renewable energy into electrical supply … · 2013-05-06 · smart...
TRANSCRIPT
Smart Integration of Renewable Energy into
Electrical Supply Systems
Long Beach, CA, USA, 17th - 21th March 2013
E. Ortjohann, A. Schmelter, N. Hamsic, P. Wirasanti
South Westphalia University of Applied Sciences / Campus Soest, Germany
Long Beach, 21.03.2013 2
Agenda
Status of the Renewable Energy in Germany
Problems and Strategies for Grid Integration
System Architecture and Control Methodology of Smart Inverter
Implementation and Verification of Smart Inverter
Conclusion
Long Beach, 21.03.2013 3
Agenda
Status of the Renewable Energy in Germany
Problems and Strategies for Grid Integration
System Architecture and Control Methodology of Smart Inverter
Implementation and Verification of Smart Inverter
Conclusion
Long Beach, 21.03.2013 4
Source: Research of Renewable Energy: http://www.fvee.de, Richtlinie 2009/28/EG Erneuerbare Energien
German Government's Renewable Energy Target
18 % Renewable energy share in total primary energy consumption of
Germany up to 2020
Renewable energy share in the electricity supply system of Germany:
35.0 % up to 2020,
50.0 % up to 2030,
65.0 % up to 2040,
80.0 % up to 2050.
Status of the Renewable Energy in Germany
Long Beach, 21.03.2013
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 20110
5
10
15
20
25
30
Po
wer
[GW
]
Year
Photovoltaic
Wind
Installed capacity of grid tied PV systems and wind turbines
5
Source: BMU, Prognos AG
Status of the Renewable Energy in Germany
29 G
W
25 G
W
3 G
W
21 G
W
17 G
W
27 G
W
2012
Wind non valid values
PV approx. 7,3 GW
Long Beach, 21.03.2013
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 20110
5
10
15
20
25
30
Po
wer
[GW
]
Year
Photovoltaic
Wind
Installed capacity of grid tied PV systems and wind turbines
6
Source: BMU, Prognos AG
Status of the Renewable Energy in Germany
29 G
W
25 G
W
3 G
W
21 G
W
17 G
W
27 G
W
2012: distribution grids
Wind approx. 95 %
PV approx. 90 %
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2013 2014 2015 2016 2017 2018 2019 20200
10
20
30
40
50
60
Po
wer
[GW
]
Year
Biomass 9.3 GW
Photovoltaic 39.5 GW
Wind 55.0 GW
7
Estimated electrical capacity of RES in Germany up to 2020
approx. 110 GW
Source: BEE Branchenprognose2020
Status of the Renewable Energy in Germany
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Offshore wind development
Source: http://www.bard-offshore.de/
Alpha Ventus:
12 turbines
60 MW Source: http://www.alpha-ventus.de/
Baltic 1:
21 turbines
48.3 MW
Source: http://www.enrw.de
BARD Offshore 1:
80 turbines
400 MW (2013)
Status of the Renewable Energy in Germany
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2011
7,7 %
of electricity
demand
47 TWh
2020
25.0 %
of electricity
demand
150 TWh
9
Repowering is already in process
Goals of Germany:
Halving the number of wind turbines
Double the installed wind power
Triple the electricity generation related to 2011
Source: http://www.wind-energie.de/ (recalculated for 2011)
Status of the Renewable Energy in Germany
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Agenda
Status of the Renewable Energy in Germany
Problems and Strategies for Grid Integration
System Architecture and Control Methodology of Smart Inverter
Implementation and Verification of Smart Inverter
Conclusion
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Conventional power systems
Problems and Strategies for Grid Integration
Un
idire
ctio
nal su
pp
ly p
roce
ss
Active
Controlled Area
Passive
Controlled Area
3~
...
...
Pumped
Hydro
Grid
220 kV / 380 kV
110 kV
10 to 30 kV
400 V
3~
Reginal
Grid
Special
Loads or
Suppliers
Regional
Grid
Special
Loads or
Suppliers
3~
3~
3~
Offshore
Wind
ParkPower Plant
3~
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Moving towards decentralized power systems
Problems and Strategies for Grid Integration
Bid
ire
ctio
nal su
pp
ly p
roce
ss
Active
Controlled Area
...
...
Grid
220 kV / 380 kV
110 kV
10 to 30 kV
400 V
3~=
3~=
3~=
3~
3~ 3~
Power Plant
Offshore
Wind
Park
Pumped
Hydro
3~
3~=
3~=
Regional
Grid
Reginal
Grid
3~
3~3~
3~
3~3~
3~
3~3~
3~
3~3~
3~
3~3~
3~
3~3~
3~
Special
Loads or
Suppliers
3~
Special
Loads or
Suppliers 3~=
3~=
3~=
3~
3~3~
3~=
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Transfer of the conventional control schemas into all grid levels
Conventional control schemas of transmission networks must be
extended to distribution networks !
PV-Park
Windpark
Biomasse
Batterie
-
speicher
CHP
CHP
CHP
H
CHP
CHP
CHP
CHP
CHP
Tank-
stelle
Wasserkraft
Kraftwerk
Schalt-
anlage
Fluss
Wasserkraft
Problems and Strategies for Grid Integration
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Grid Code for decentralized generators in Germany
Power reduction (supervisory side)
Frequency and voltage droop (unit side)
Fault Right Through (unit side)
Source: VDN, German Grid Code
Problems and Strategies for Grid Integration
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Inverter as Flexible Grid Interface for Integration of DERs
Problems and Strategies for Grid Integration
Unit Control
3~
=
(~)
GridEnergy Conversion
System (ECS)
3 (4)2 (3)
Load
Load
~~
~~
~~~~
~~
G
3~
Photovoltaic Generator
Wind Power System
Communication
Local
Control
Inverter is the Essential Device for
optimal integration of DERs
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Agenda
Status of the Renewable Energy in Germany
Problems and Strategies for Grid Integration
System Architecture and Control Methodology of Smart Inverter
Implementation and Verification of Smart Inverter
Conclusion
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Technical requirements of inverter as grid integration of DERs
DERs integration into Active Network
Symmetrical active network
Asymmetrical active network
System Architecture and Control Methodology of Smart Inverter
=3~
=3~
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Technical requirements of inverter as grid integration of DERs
DERs integration into Passive Network
Symmetrical passive network
Asymmetrical passive network
System Architecture and Control Methodology of Smart Inverter
=3~
=3~
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Inverter feeding modes at grid side (Unit Control)
System Architecture and Control Methodology of Smart Inverter
Inverter Feeding Modes
at Grid Side
Grid Parallel
Symmetrical Asymmetrical Symmetrical Asymmetrical Symmetrical Asymmetrical
Grid Forming Grid Supporting
ECS Driven Feeding Grid Driven Feeding
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Inverter feeding modes at grid side (Unit Control)
Grid forming: f- and V-control with nominal reference values
(grid side driven)
Grid supporting: P- and Q-control with external reference values
from load dispatcher (grid side driven)
Grid supporting: P- and V-control with external reference values
from load dispatcher (grid side driven)
Coupling: Δf/ΔP and ΔV/ΔQ droop (grid side driven)
ΔP/Δf and ΔQ/ΔV droop (grid side driven)
Grid parallel: P- (and Q-) control with reference values from source
(unit side driven)
System Architecture and Control Methodology of Smart Inverter
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Symmetrical grid forming mode inverter
System Architecture and Control Methodology of Smart Inverter
Inverter Feeding Modes
at Grid Side
Grid Parallel
Symmetrical Asymmetrical Symmetrical Asymmetrical Symmetrical Asymmetrical
Grid Forming Grid Supporting
ECS Driven Feeding Grid Driven Feeding
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Symmetrical current control inverter
System Architecture and Control Methodology of Smart Inverter
dq
SVM
-
-
Lf
Cf
V_ref
V_ref
Vd
Vq
Vdc
Id_act
Iq_act
Inverter
=3~
abc
dq
abc
Vejφ
Local
Grid
Grid
Iq_ref
Id_ref
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Symmetrical grid forming mode inverter
System Architecture and Control Methodology of Smart Inverter
dq
SVM
-
- -
Lf
Cf
V_ref
V_ref
Vd
Vq
Vdc
PLL
Id_act
Iq_act
Inverter
=3~
Vref
Vact
-
abc
dq
abc
wact
Vact
wref
Local
Grid
Grid
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Symmetrical grid forming mode inverter with primary control
System Architecture and Control Methodology of Smart Inverter
Qact
Primary Control
-
-
Δw
ΔV
Kw
KV
Pact
P and Q
Measurement
Pref
-
Qref
dq
SVM
-
- -
Lf
Cf
V_ref
V_ref
Vd
Vq
Vdc
PLL
Id_act
Iq_act
Inverter
=3~
Vref
Vact
-
abc
dq
abc
wact
Vact
wref
Local
Grid
Grid
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Symmetrical grid forming mode inverter with primary control
System Architecture and Control Methodology of Smart Inverter
Qact
Primary Control
-
-
Δw
ΔV
Kw
KV
Pact
P and Q
Measurement
Pref
-
Qref
dq
SVM
-
- -
Lf
Cf
V_ref
V_ref
Vd
Vq
Vdc
PLL
Id_act
Iq_act
Inverter
=3~
Vref
Vact
-
abc
dq
abc
wact
Vact
wref
Local
Grid
Grid
Proposed control schemas
fulfill the requirement of
decentralized generators
Grid Code !!
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Asymmetrical grid forming mode inverter
System Architecture and Control Methodology of Smart Inverter
Inverter Feeding Modes
at Grid Side
Grid Parallel
Symmetrical Asymmetrical Symmetrical Asymmetrical Symmetrical Asymmetrical
Grid Forming Grid Supporting
ECS Driven Feeding Grid Driven Feeding
Long Beach, 21.03.2013 27
Asymmetrical grid forming mode inverter
System Architecture and Control Methodology of Smart Inverter
SVM
Lf
Cf
Vdc
Inverter
=3~
wact
Local
GridGrid
Positive sequence
V-ControllerI-Controller
-
-
-
-V1_q
wref
V1_d_ref
wact
V1_d
I1_q
I1_dV1_d
Negative sequence
V-ControllerI-Controller
-
-
-
-V2_q
V2_q_ref
V2_d_ref
V2_q
V2_d
I2_q
I2_dV2_d
Zero sequence
V-ControllerI-Controller
-
-
-
-V0_q
V0_q_ref
V0_d_ref
V0_q
V0_d
I0_q
I0_dV0_d
[ I120_dq_act ] [ V120_dq_act ]
PLL
[ V120_dq ]
Vγ _ref
V_ref
V_ref
γ
120
abc
120
abc
120
Long Beach, 21.03.2013 28
Asymmetrical grid forming mode inverter with primary control
System Architecture and Control Methodology of Smart Inverter
SVM
Lf
Cf
Vdc
Inverter
=3~
wact
Local
GridGrid
Positive sequence
V-ControllerI-Controller
-
-
-
-V1_q
wref
V1_d_ref
wact
V1_d
I1_q
I1_dV1_d
Negative sequence
V-ControllerI-Controller
-
-
-
-V2_q
V2_q_ref
V2_d_ref
V2_q
V2_d
I2_q
I2_dV2_d
Zero sequence
V-ControllerI-Controller
-
-
-
-V0_q
V0_q_ref
V0_d_ref
V0_q
V0_d
I0_q
I0_dV0_d
[ I120_dq_act ] [ V120_dq_act ]
PLL
[ V120_dq ]
Vγ _ref
V_ref
V_ref
γ
120
abc
120
abc
120
Primary Control
ΔV1_d
KV1_d
Kω
KV2_d
KV2_q
KV0_d
KV0_q
ΔwΔV2_d
ΔV2_q
ΔV0_d
ΔV0_q
Q1
P1
Q2
P2
Q0
P0
Pref
Qact
Pact
Qref
-
-abc
120
abc120
-
-
-
-
-
-
P and Q
Measurement
Long Beach, 21.03.2013 29
Agenda
Status of the Renewable Energy in Germany
Problems and Strategies for Grid Integration
System Architecture and Control Methodology of Smart Inverter
Implementation and Verification of Smart Inverter
Conclusion
Long Beach, 21.03.2013 30
Developed smart inverter: technical specifications
Total Power 100.0 kVA
2 x Module 12.5 kVA
1 x Module 25.0 kVA
1 x Module 50.0 kVA
Max. Input Voltage 800 V (DC)
Output Voltage 3 x 400 V (AC)
Max. Efficiency 95 %
Implementation and Verification of Smart Inverter
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50.0 kVA inverter module
Implementation and Verification of Smart Inverter
Long Beach, 21.03.2013 32
AC Connection module
Implementation and Verification of Smart Inverter
Long Beach, 21.03.2013 33
Developed smart inverter
50 kVA inverter module
AC Connection module
Implementation and Verification of Smart Inverter
Long Beach, 21.03.2013 34
Verification of proposed control methodology of smart inverter
Implementation and Verification of Smart Inverter
=
3 ~
LC
Vdc
25 kVA
LC
=Vdc3 ~
12.5 kVA
Load
Parallel operation of 2 Asymmetrical
Grid Forming with Primary Control
inverters are examined.
Inverter Parameters:
Vdc = 780 V
Vref = 230 V
fref = 50 Hz
Vdroop = 4 %
fdroop = 4 %
Long Beach, 21.03.2013 35
Asymmetrical Grid Forming with Primary Control
Asymmetrical load; RA=20Ω, RB=40 Ω, RC=60 Ω
Load Voltages
Load Currents
Implementation and Verification of Smart Inverter
Long Beach, 21.03.2013 36
Asymmetrical Grid Forming with Primary Control
Symmetrical load; RA= RB= RC= 16 Ω
Load Voltages
Load Currents
Implementation and Verification of Smart Inverter
Long Beach, 21.03.2013 37
Agenda
Status of the Renewable Energy in Germany
Problems and Strategies for Grid Integration
System Architecture and Control Methodology of Smart Inverter
Implementation and Verification of Smart Inverter
Conclusion
Long Beach, 21.03.2013 38
Conclusion
Characteristics of the proposed smart inverter control architectures:
The introduced control architectures enable reliable, fast and
efficient control of future oriented power systems
Increase the flexibility and adaptability for DERs grid integration
into conventional grids
Support the conventional control schemas, which are consequently
down sized to the low voltage level
Give an opportunity to establish an advance control function down
to local level
Long Beach, 21.03.2013 39
Conclusion
Change the ordinary DERs integration to be a part of the dynamic grid
control and management
Empower and turn distribution network to be the active control area
with Smart Inverter
Local Area
Intelligent Substation
Prosumer
50 kW
==
CHIP
CHIP
=3~
CHIPCHIP
CHIP
CHIP
CHIP
CHIP
3~
=
3~
CHIP
SGCC
Long Beach, 21.03.2013 40
Acknowledgement
This research work is supported by
Long Beach, 21.03.2013 41
Thank You For Your Attention!
Paramet Wirasanti
South Westphalia University of Applied Sciences,
Division Soest
Department of Electrical Engineering
Laboratory of Power Systems and Power Economics
Email: [email protected] 6
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