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