opportunities in vpp, energy management, and microgrid
TRANSCRIPT
Martin Hauske, General Manager Kister Asia Pacific, October 2016
Opportunities in VPP, Energy Management, and Microgrid
New World
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Synchronization of demand and production
Maintain reliability despite increasing number of RES
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• While the numbers of assets / RES increases SAIDI remains on constant level, it reveals no sign of growing instability despite record levels of renewable energy on the grid - 28.5 percent of the power supplied in the first half of 2014. In fact, Germany's grid is one of the world's most reliable (beside Singapore).
• German grid reliability still far outstrips the best SAIDI results delivered by U.S. and Canadian utilities. The top quartile of SAIDI results had consumers without power for an average of 93 minutes - six times longer than outages experienced by the average German consumer.
Source: EnergyTransition.de
Source: netztransparenz.de / German TSOs
Redispatchs / year
Case study: Rhein Energie
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The customer – RheinEnergie
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RheinEnergie AG with € 400 million equity the largest and most profitable investment of Stadtwerke KölnEmployees:• SWK : 11,834• RheinEnergie : 3,150• RheinEnergie Trading : 60Sales:• SWK : € 4,556 billion• RheinEnergie: € 3,451 billion• RheinEnergie Trading : € 2 billion
Decentralization challenge
Decentralization leads to a significant increase control of system supply: replacement of
large, centralized and controllable power plants with a variety of decentralized small assets requires
scalable control and optimization solutionsCentralised Decentralised
Fossil Renewable
Renewable intermittency challengeRenewable electricity is subject to weather intermittency factors - Controllable systems then
have to provide short term flexibility when supply of weather dependent wind and solar capacity is
not available.
Digitalization challenge
Digitalization brings bidirectional communication with customers: digitalization improves
customer satisfaction but, in the meantime, also provides decetralized customer flexibility
opportunities. Felxibility is on both distribution generation and customer demand side.
DigitalAnalogic6
Current challenges – why does RheinEnergie need a virtual power plant (VPP)?The virtual power plant for Rheinenergie: Installation and deployment of a full virtual power plant solution in SaaS Currently with approximately 30 demand and generation assets (LTU) but scalable to several hundreds Commercially profitable and participating to both spot and reserve markets End-to-end solution from data capture to billing data preparation
12:00
Generation[GWel]
20:0004:00 16:0008:00 00:00
What does a VPP do?
Generation of renewables only depends on availability
Decentralized units shift generation to periods with
little generation from renewables (e.g. CC-generation with intelligent storage solutions)
Flexible consumers can also be crosslinked within a VPP
and used to balance production and demand.
VIRTUAL POWER PLANT
UNLINKED OPERATIONS
Generation of renewables only depends on availability of
wind and sunshine
Production of decentralized generation units only
depend on local requirements (e.g. combined cycle
generation controlled by need of thermal energy)
16:0008:00
Generation[GWel]
04:00 00:0020:0012:00
1) Grid load 7.6.2013; Generation mix, illustrative
Coordinated production
Wind Sun Flexible generation unitsResidual Load
VPP allows to control decentralized generation units to optimize their generation – Transition from an unlinked to a connected operation of assets and grids
Production
variation from
renewables
lead to extreme
variations for
residual load
Reduced
demand for
residual load
Uncoordinated production
Direktvermarktung
Regelenergie für den ÜNB
Utility
DSO?
The Virtual Powerplant at RheinEnergieLevel 1
Renewables (Wind parks, PV- and Biogas generation units of
RheinEnergie and units of subsidiaries (landfill gas plant)
~15 CC-units of RheinEnergie and subsidiaries
Level 2
Large Generation Units of RheinEnergie and other utilities
All kinds of controllable units with flexibility in production,
consumption and/or storage
Communication-network
ExchangeEnergy trader
Photovoltaic-generation
Wind power generation TSO
Control
Biogas generation
Units Markets
?
Wind, PV
BHKWResidential
Large Generation UnitsIndustry
E-Mobility
Storage
„The VPP of RE is the centerpiece for the utilization of the Internet of Things within the energy business“
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VPP of RheinEnergie: Current status
Kommunikations-
netz
Markets with examplesUnits
ÜNB
Großhandel
Regelenergie für den ÜNB
…
Autarkiekonzepte
PV-Mieterstrom
„Echte“ Grünstromprodukte
…
Bilanzausgleich
All types of generators (conventional, renewables) and loads are connected and marketed by the VPPM
Communication-
network
ÜNB
Großhandel
Long term trading
Short term trading
„Direct marketing“
Balancing power
for the TSO
(autarky concepts)
(PV-solutions)
(currently no market model)
Balancing balance groups
Integrated optimization on all renewable and small decentralized generation units
Pool typeRheinEnergie AG
Pools with partners
Direct marketing (renewables) 150 MW ~420 MW
Reserve power MRL* 400 MW ~1.000 MW
Reserve power SRL (ab 1.1)* 180 MW ~300 MW
Balancing group 8 TWh ~15 TWh
* Präqualifizierte Leistung
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Operation of the VPP as SaaS
BHKW
ProCoS
SCADA
BelVis ResOpt
Cloud-System VPPM
ITC RheinEnergie EDM
Other systems / data
Units
TSO
trayport
exchanges
SAP IS-U
weather-data
Control of UnitsConnectionvia Citrix
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SFTP InterfacesFor data exchange
2
5
4
BelVisVPP
ETRM
Portfolio-/ time series
managementOptimization
Web-Frontend
Customers
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Connection to TSO
Smooth operations in this tight process requires high performance in all links and interfaces between RheinEnergie and KISTERS
Case study: Web2Energyentega, Darmstadt, Germany
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Virtual Power Plants: Web2Energy was one of the first VPP in Germany
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Several Virtual Power Plants, operated byutilities, industry and traders & pools.
Aggregating CHP, PV, wind, biomass, batteries, DSM for energy only and reserve power markets.
● 46 - 44% of the total consumption are moveable.
● In extreme situations 100% were moved to green traffic light phases.
● As an average approx. 8% of the peak power was moved / shaved
Quelle: web2energy.com
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Web2Energy: Evaluation
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Benefits evaluation
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The economic benefit of the web2energy project has been confirmed by our commercial projects and presented in the table:
• Improved integration of RES (with CO2 reduction) with not-network augmentation consistently with the grid stability strategies
• Minimising outage events with relevant avoidance of system costs (manage risk of integration of intermittent resources in island)
• Know-how transfer and sharing of KISTERS IP and leveraging grid reliability of SP• Evaluation of joint opportunities for commercial deployment of the VPP solution
This table was compiled for a VPP with the following components:3 Large controllable loads200 households with price signals3 Wind parks = 9 MW6 Solar plants = 2.55 MW1 Biomass + 5 bi-generation plants = 5.9 MW 3 Minihydro plants = 10 MW
Case study: Infracor
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Infracor GmbH in the Chemical park Marl
Infracor GmbH is an integrated operator and
service provider for the supply of energies and
utilities, raw materials and product logistics as
well as operation.
On 6,5 km2 in the Chemical park
Marl 30 different companies
produce 4000 products.
Operater of the Chemical park is
Infracor GmbH, a subsidiary of
Evonik
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Criteria for the Optimization of the Electricity and Steam supply:
• Demand of Chemicals und Utilities
• Technical Constraints of the Assets
• Market prices (Gas, Electricity, CO2, Network charges)
• EEG-Savings through Inhouse generation versus external procurement
• KWKG (CHP)-subsidies
• Network conditions in the electricy and gas networks
Supply of the Chemical park with inhousegeneration and or procured energy at minimal costis a complex optimization
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Energy usage optimization is key to5 Processes, optimization different time horizons
Several Years
longterm
5...1 Year…1 Months
Mid range
planning
Multiple hour
resolution
Forecast data
mid range
1 day
Shortterm
Schedule
1h-resolution
Planning data
Day ahead
8h…1/4h -> 8h
Real time
load
1/4h-resolution
Actuals
Execution
Intraday
PlanStrategy
Process control:
Assumptions
Longterm
Supply-
planning
Past Months
Measured
Load
1 h-resolution
Actuals
Post analysis
KPI
Project team (VO) PEPK-Team +
Productivity teamEB-NL
Control Centre
(EB+VN)Productivity team
Optimal Asset structureMid Range
Planning
Daily
Next dayAdjust to
Actual operation
Optimization-
potential
Case study: SmartRuralGridESTABANELL (Spain) and Stadtwerke Rosenheim (Germany)
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EU Lighthouse Project:Smart Rural Grid
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Loosely coupled microgrids are increasing
America
South Africa
Europe
Asia & Australia
KISTERS at a glance
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Key figures 2015
Number of permanent employees > 500
Number of subsidiaries 13
Revenue in million euros 67
Corporate figures
Digitalsolution
sEnergy
management
Air quality
Markets & software products
A strong customer baseThe KISTERS Group
KISTERS AG / DACHS / EUS
KISTERS Österreich GmbH
KISTERS Schweiz GmbH
KISTERS Nederland B. V.
KISTERS France S.A.S. /RHEA SA
KISTERS Ibérica s.l.
KISTERS Shanghai Software Development Co., Ltd.
KISTERS Pty Ltd.
HyQuest Solutions Pty Ltd.
HyQuest Solutions (NZ) Ltd.
KISTERS North America, Inc.
hardware.
engineeringservices
LargeformatHardware
Monitoring
Environ-mental
Consultingsoftware.Logistics &
Aviation
Environ-mental
Protection& Safety
Air
2D-/3DViewer
EnergyWater
Monitoring
Back up
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New revenue streams through Virtual Power Plants (VPP)
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VPP provides ability to open up new revenue streams by bundling RES, dispersed generation, Demand Side Management (DSM) / Demand Response (DR) and storages.
VPP bundles assets to aggregate power generation, consumption and flexibility for marketing of energy.
Besides revenue streams financed by governmental programs, VPP supports additional business cases.
VPP can adapt to changing business cases because of regulatory changes or for new product offerings.
One integrated system for marketingand bundling of RES and DG
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KISTERS solutions address
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Integration of RES
Minimizing CO2 and other emissions
Increasing capacity for RES in existing grids, thus avoiding or postponing large CAPEX by small OPEX
Allow rapid RES and DER integration in existing grids
Co-generation and sector coupling
Virtual power plants combing RES, combined heat and power (CHP) and storages (heat, gas, batteries)
Including e-mobility, using local generated renewable energy for local mobility demand
Local generated and local consumed energy avoid grid losses
Pushing Renewable Energy Sources (RES) and decentralized Energy Sources (DER)
earch project for smart grid of the future
PROJECT SCOPE
DEVELOP THREE PILLARS OF SMART GRID IN DISTRIBUTION SYSTEMS
‐ SMART METERING: ENGAGING CUSTOMER IN THE ENERGY MARKET
‐ SMART ENERGY MANAGEMENT: CLUSTERING OF DISTRIBUTED GENERATION
‐ SMART DISTRIBUTION AUTOMATION: ACHIEVING A HIGHER RELIABILITY OF SUPPLY
PROJECT DEPLOYMENT
A FULLY INTEGRATED APPROACH IS NECESSARY FOR COMPLEX ENVIRONMENTS:‐ UNIQUE DATA REPOSITORY
‐ LOAD ANALYSIS, FORECAST AND AGGREGATION FOR BOTH DEMAND & FEEDING LOADS
‐ RESOURCES INTEGRATION THROUGH VIRTUAL POWER PLANT
‐ SCHEDULING & CONTROLLING OF BOTH DEMAND AND GENERATION LOADS
PROJECT NUMBERS & ACHIEVEMENTS
GENERATION: 5 CHP + 6 PV + 3 WIND PARKS + 2 HYDROPOWER + 3 LARGE CONTROLLABLE LOADS
POWER STORAGE: 12 BATTERIES FOR A TOTAL OF 250 KWH (REDOX & LI ION)CUSTOMER: BALANCED MIX OF LARGE INDUSTRIAL AND RESIDENTIAL CUSTOMERS (200 APPROXIMATELY)EUROPEAN COMMISSION EVALUATION: EXCELLENT
Web2Energy
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Case study: Well2Wheelentega, Darmstadt, Germany
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System concept
OBU Onboard Unit
CP Control Pilot
OBD Onboard
Diagnostics
OB
U
O
B
D
Ante
nnen
C
P
rel
ay
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Results
• How many EV could be (additionally) integrated into on grid cell / microgrid? As an example:
• 400 kVA local power transformer (low voltage)
• Real, measured load profiles
• No PV, no local generation, no VPP coordination
• Maximal 9 EV simultaneously charged (11 kW 3-phases)
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Results (II)
With VPP:
• Stationary battery (120 kWh)
• Local PV
• CHPs (30 kW)
50 EV could be charged simultaneously
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EU Lighthouse Project:Smart Rural Grid
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EU Lighthouse Project:Smart Rural Grid
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An active smart grid with RES, CHP, DSM and Power Router:
Topology as a variable
Control of reactive power and voltage
Minimize losses
EU Lighthouse Project:Smart Rural Grid
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Source: www.digitalgrid.org
Optimization: global level
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P, Q P, QSoC
Actual data send by SCADA / MDM
P, Q
P, Q, mode P, Q
Data send by 3rd
party systems
Obligations (delivery, purchase)
Obligations (delivery, purchase)
Wind or generation
forecast
Radiation or generation
forecast
Setpoints / schedules
P, Q, mode SoC P, Q
Market proposals
Market proposals
KISTERS Energy Solutions
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for the energy industry with its business fields of energy generation, distribution, marketing, trade, and metering
Solutions for
Energy data and portfolio management
Forecasting, optimization
Virtual power plants
Smart metering
Smart grid / control technology
Life cycle and asset management of plants and grids
More than 750 customers in the energy industry and the larger industry
Products
Energy data and portfolio management BelVis
Control systems ControlStar and ProCoS
Virtual power plants & multi-utility optimization ResOpt
Big Data software KiBiD
Asset management software LCAM
Market-compliant and pioneering software solutions
KISTERS Platform
BelVis
PORTFOLIO- &RISK-MANAGEMENT
• Market Data
• Deal Capturing
• Position Building & Scheduling
• Trading & Market Access
BelVis
FORECASTING & MANAGEMENT
• Generation Forecast
• Electricity Demand Forecast
• Correlation Analysis
• Scenario Analysis
ResOpt
OPTIMISATION MODULE
• Optimal Operational Schedule for
• Generators
• Loads
• Storages/Batteries
• Heat etc.
• Set Points
• Scenario Analysis
SCADA
CONTROL TECH MODULE
• Real Time Management
• Set Point Monitoring/ Alarm
• Executing Load Schedules
• Interaction with 3rd
Party Systems: SCADA & DMS
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Web Based Dashboard: front end user interface integrating all individual modules
BelVis Workflow: task process integration, system monitoring, alarming
Act
ual
Po
siti
on
s
Fore
cast
& M
eter
Dat
a
Dea
l Pro
po
sals
Set
Po
ints
&
Op
erat
ion
Sch
edu
les
Act
ual
Dat
a
Taking over marketing and assign to business
Taking Over Marketing
Assignment to Business Case
Forecast Optimization
Marketing of Capacities
Steering & Monitoring
Prepare Billing
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Supported tasks
Provision of core data management capabilities for all times series as well as comprehensive data analytics functions
Master Data Management
Support of specific RES requirements
Import of external forecast
Assignment to Business Cases and Balancing Group
Determination of overall RES generation by automatic aggregation
Cluster and Re-cluster all energy values and schedules between single RES and central aggregations
BelVis is the basic package for energy generation, distribution, procurement and modeling.
BelVis core data management forall times series
Features:
Full range of Validation, Estimation and Editing (VEE) algorithms
Automated and user configurable import and export
Data validation based on client and industry business rules
Automated data aggregation and load profiles
Full report capability, both standard and user definable
User friendly GUI with on screen editing and data visualization
Automatic calculation of all dependent data
Flexible calendar and time zone management
BelVis is the basic package for energy generation, distribution, procurement and modeling.
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Taking Over Marketing
Assignment to Business Case
Forecast Optimization
Marketing of Capacities
Steering & Monitoring
Prepare Billing
BelVis PRO: State of the art forecasting
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Creates any kind of required forecasts like
Wind Energy Forecast
Solar Energy Forecast
Load Forecast
Both regional and system wide forecasts (Consumer groups, Network Loads, Grid, etc.)
Both Bottom Up and Top Down forecasting capabilities
Online Forecast, Hour-Ahead, Day-Ahead, Short and Long-Term
Fully automated forecasting process
High accuracy
BelVis PRO is the forecasting tool specifically designed for the energy market, extremely accurate and fast.
Taking Over Marketing
Assignment to Business Case
Forecast Optimization
Marketing of Capacities
Steering & Monitoring
Prepare Billing
BelVis PRO:State of the art forecasting
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Taking Over Marketing
Assignment Business Case
Forecast Optimization
Marketing of Capacities
Steering & Monitoring
Prepare Billing
BelVis ResOpt: Flexible Resource Optimization
Supported tasks
Ensures optimized utilization of RES (and other assets like contracts ..) to maximize profit by facilitating participation in energy trading and reserve markets as well as other business cases
Bid support
Supports different business cases simultaneously
Support of Continuous energy planning processes form week ahead to intraday
Comprehensive scenario capabilities
BelVis ResOpt an optimization tool for complex systems, capturing both the technical and the economic aspects.
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Taking Over Marketing
Assignment Business Case
Forecast Optimization
Marketing of Capacities
Steering & Monitoring
Prepare Billing
BelVis ResOpt: A flexible tool for complex scenarios
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Optimization
Container
Macro Component
Top Level
BelVis ResOpt example: Competing markets
Optimization
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Use of fuels
Supply heatMinimizing grid fees
Futures, spot and intraday
Competing reserve markets
BelVis ResOpt example:Results / schedules
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Optimization
Spot
Reserve power
Starts with powerful and flexible basic elements …
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Generic basic model components supports any optimization task and any commodity
Source
Converter
AccumulatorInputLoad
Generic building blocks
Balance node / grid
Sink
Sink
Every market, commodity and technical unit could be build by using the combination of a few generic elements.
Generic building blocks
Symbol Name Representation
Source / Sink / Contract Input, output, buying and selling
Converter Change and transformation (e.g. producing material energy)
Accumulator Storage
Load curve Demand and input (as time series)
Balance node Grids of material, energy, steel, gas, steam
Curve component Different operation strategies (e.g., ramp during startup)
Relation component Logical relation (e.g., if-then condition, sequential relation)
Generic basic model components supports any optimization task and any commodity
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Steering & Monitoring
Supported tasks
Provides also functionality for meter reading
Supports minute reserve operations in case of TSO request by signal
Direct connection to Merit-Order-Server
Extendable to support automatically secondary reserves operations in case of TSO request by signal
Automatic operation of schedules from marketing of energy
Gather all real values of connected RES (and others)
KISTERS SCADA provides all required real-time SCADA functionality to steer and monitor RES and other units like CHP connected to VPP.
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SCADA
Taking Over Marketing
Assignment Business Case
Forecast Optimization
Marketing of Capacities
Steering & Monitoring
Prepare Billing
e&t: District heating and power, Vienna
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e&t: From high level view …
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... but covering also the details
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… as deep as required
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Process to maximize profits and reduce risks
Business process optimization is interconnected
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Week Ahead Day Ahead IntradayOnline Usage Optimization
Monitoring & SteeringSchedules, Units
Optimized quantities and
schedules for weekly
auctions
Schedules for each power
plant and market / product
Optimized quantities and
schedules for daily auctions
Single unit schedules
Bid Support
Continuously optimization
Check of available reserve
power
(to fulfill contracts and
additional offers)
Delivering of Energy
Kept Schedules
Short Term Intraday Online
weekly daily (d+1)daily to 15
min15 min to seconds
Ob
ject
ive
Res
ult
s
Energy quantities
Secondary reserve
(Ancillary Services)
Energy quantities
Minute reserve (AS)
Spot market / OTC
Balancing Intraday Market /OTC, React to outages, RES
gen.
Modules
Trading / ETRM
• Trading
• PFM
• Risk management
EDM / MDM / TSM
• Data acquisition
• Central data store
• Market communication
Control System / SCADA
• Set values
• Process control
• Data acquisition
Modelling
• Markets
• Assets
• Contracts
Optimization
Forecasting
Scheduling
ERP (SAP)
• Master data
• Billing
Cockpit
• Dashboard
• Central control of
workflows and situation
Wo
rkfl
ow
an
dm
aste
r d
ata
adm
inis
trat
ion
Web portal
• For B2C
• For pool members
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Levels of control
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TSO ESCO Markets
Virtual Power Plant: Forecasting, Optimization, Scheduling
Grid control centre / SCADAEnergy market systems /
Balancing group
IDPR, CHP, inverter control (RES), battery control, tap settings
Single asset (generator, load, storage)
Role: retail-tradingRole: DSO
1
2
3
4
Control
level
TSO and National markets level
High voltage
DSO and Regional markets level
Medium voltage
Local level
Low voltage
Rural Smart GridControl Centre
Central
Street level
Asset
New role linkingphysical gridand markets
KISTERS VPPM – Technical System Architecture
KISTERS energy platform solutions
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AI D I
S
T
P
V
W D
Web-Tools, Process view
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Web-Views
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KISTERS can offer SaaS supported by certifiedOperation Center
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Open architecture
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Supported open standards
CIMCommon Information Model
DER ManagementConditional reduction of wind energy production
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RT-CMD / ICCP
reply ← CMD ok.
Operator can check reduction status may correct this by the use of subsequent commands
CMD → set region 1 to 60%
Relays code the reduction setting, operator is still responsible of windpark management
AMR System
Status replyReply of all renewables
RT-CMD
CMD -> set region 1 to 60%
Establish connection to switches at meter reading modul
1
2
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Regional CC / DSO
Station A
B8 B9
C1T1 T2
B1 B2
B3 B4 B5 B6 C7
C2
B7
Station A
B8 B9
C1T1 T2
B1 B2
B3 B4 B5 B6 C7
C2
B7
1252 123 123 123 123 123 123 123 123 123 123 123 123 123 123 123
123123123123123123123123
Station A
B8 B9
C1T1 T2
B1 B2
B3 B4 B5 B6 C7
C2
B7
Station A
B8 B9
C1T1 T2
B1 B2
B3 B4 B5 B6 C7
C2
B7
Central CC / TSO
DER Monitoring System
Management of EE-Cluster:
Wind,
Solar,
Bio-Mass,
Storage ..
as a virtual power plant
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Forecast
Load forecast and analytic system for MPOWER - Philippines
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BelVis PRO ALN
• Forecast of actually 200 commercial / industrial customers
• Usage of regional influence values for modelling
• Short term forecast for spot trading, long term forecast for risk management
Benefits
• Lower costs through automation
• Integration with trading System / ETRM
• Improving forecast accuracy by 25 %
• Reduction of imbalancing costs
• Improve risk management for long term procurement
Direct Marketing Gateway
DM-GW: Control Star + UFEP
data mapping/routing (set values)
priority management of controlslocal filing
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ESCo
Farm Operation
DSO
DER Farm Manager
DM-GW
IEC-104Prio 2
IEC-104Prio 3
IEC-104Prio 1
SRM – Secondary Reserve Management
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MRM – Minute Reserve Management
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Big Data, use case: Industry 4.0
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Collection and data analytics for manufacturing process of rocket components
Joint Project with German aerospace center (DLR) Augsburg
development of a manufacturing process for fuel tanks on CFK basis