PowerMatching City
I.G. Kamphuis
Presented at Energy Delta Convention, Invited lecture Sustainable Cities Session, 21-23 November 2010, Groningen, The Netherlands
ECN-L—11-003 January 2011
SmartGrids in action
Power Matching City
René Kamphuis, ECN Efficiency and Infrastructure
Intelligent Energy Grids, Petten, the Netherlands
Energy Delta Convention, Groningen, 23-11-2010 2010
Contents
Integral project EU 7th framework project (11 partners)
PowerMatchingCity: SmartGrid in Hoogkerk
– Embedding of DG-RES electricity (Wind and Solar)
- What can fossil fuels and heat storage contribute in the
form of flexibility
- Demand response via µ-CHPs, heat pumps and
consuming appliances
- Role for electric vehicles
- 25 heat pumps and µ-CHPs
How to involve Information and communication
technology ?
– Monitoring; extended to lowest levels of distribution ?
– Coordination; how are powernodes made aware of the
rest of the system ?
Use cases/ possible future grid functionality
Some first results
Conclusions
www.integral-eu.com
ICT Functions for market and network operations
LV
MV
HV/EHV
Network
operations
Market
operations
SCADA
Smart meter
Smart Grids: ICT +
distributed intelligence
and automated
operational
processes
Smart Grids:
ICT +
distributed
intelligence
supporting
demand
response and
(real time)
participation
in energy
markets
ICT
supported
energy
trade
ICT in electricity grids
Physical
Dedicated
In ICT-‘cloud’
Loosely coupled
Interoperable
Service Provider
www.integral-eu.com
How to fill in the loosely coupled software layer:
Implementation with PowerMatcher-3 buildingblocks
•Agent based
•Minimal message overhead
•Primary process/user in control
MTA Brussels 28-5-2009
Scope of test: Residential area and test-sites
MTA Brussels 28-5-2009
Integral cluster
Hot water as energy storage& dual operation modes
(electricity/gas) to create demand/supply flexibility
• Hot water storage for:
• Heating system
• Tap water
• Extra flexibility via electricity, gas operation modes
• Micro-CHP:
Usage of peak burner
• Hybrid Heat pump
High efficiency gas heater as peak support
Storing heat to support electricity system
SOC_desired ComfortLimits
Use Cases in one year measuring period;
Localized in Objective agent functionality
Cost Effective Use of Energy
Prosumer
•Maximize Economic
Benefits of DER/RES
asset investments
Monitor Own Household
Prosumer
Provide feedback to customers
Improving asset utilization
Distribution System Operator
• Congestion Management
• Reduce investment in
assets
Business Cases Operational Cases
Valorization of Renewable Energy
Asset Owner
• Maximize revenues RES
• Improve RES embedding
Monitor, Manage and Control System
Operator
Collect and Analyze Data
Operator / Researcher
On-line or off-line analysis.
Imbalance Reduction (VPP)
Program Responsible
•Reduce Own Imbalance
•Dispatch Control and
Reserve PowerPrice Equilibrium
0
20
40
60
80
100
0 5 10
Price
Po
we
r
-60
-40
-20
0
20
40
60
80
100
120
140
0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00
Voorspelling
Realisatie
Regelvermogen
Use case / Operate cluster on electricity trade floor
Commercial-VPP
– Now in the Netherlands already for horticultural CHP
- Day-ahead, intra-day
- Imbalance market
– Reduce or direct imbalance in portfolio
– Dispatch and support of conventional power within PTE within portfolio;
compensate for ramp-up/ramp-down large generators
– Take part in spinning reserve requirement for large generators
Illustration by 3D-price profiles
Netherlands: Power production profile and forecast – realization
Use case Imbalance Reduction
Netherlands electricity market 1 hour blocks:
electricity price
Aggregated cluster can also be utilized on shorter
time phenomena (15 minutes)
Ramp-up at 8:30
Heat demand homes, APX-price-development and tariff
Home Heating
EV charging
Consumer-tariff
B-Box portfolio profile optimization for trade dispatch
Heat demand fromtemperature
forecast
Micro-CHP; buffer level peaking during
day
Heat pump; buffer level peaking during
night
EV optimizeddemand
Resultantforecasted profile
Dispatch Agent real-time control on the
profile
Use Case / valorisation of renewables
Wind
imbalance
pattern is
compensated
if possible
Use case / Feedback to users
Fine-grained metering scheme
– Intelligent meter at every node; gas and heat
User WEB-portal
– Cluster Prices
– Experience platform
– Participative design
New ‘Pricing Model’ for users; participation fee is attributed as an
incentive
– Market part
– Contribution to congestion management; ‘grid friendliness’
Socio-economic research-interventions on perception of the new
technology and usability
Conclusions
Experiment now delivers ‘real-world’ clues on
Value of heat/electricity storage in DG-RES context
Flexibility of a VPP-cluster as an asset on short-timeframeelectricity markets
Behind-the-meter optimization
ICT connection posibilities to other operational modes (critical, emergency)
User perception and retribution schemes
See
www.integraleu.com
www.powermatchingcity.nl