Proactive/Reactive designs Stakeholder meeting Frank Nobel Brussels, 13 June 2014

Proactive/Reactive designs

13 June 2014

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Context for balancing The massive increase of intermittent energy resources is making the balancing process more complex and requires an increase of system flexibility, and an increase of system balancing requirements of TSOs

Proactive/Reactive designs

13 June 2014

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Balancing services demand

TSO

TSO Not compliant

Compliancy Competition Market

Balancing services supply Proactive/Reactive designs

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TSO

Solution has two directions:

̵

Balancing services demand

Challenges for balancing

̵

Market Incentives

•Cross-border integration of balancing markets (CMOL) •Diversification of balancing resources Reduce the demand of balancing services via:

Imbalance Netting

Increase the available balancing services supply to balance the control area via:Diversification

•Stabilise/reduce the Net Imbalance caused by BRPs, •Avoidance of counteractivation. Balancing services

Reserve Sharing

Market

supply

Second solution is often forgotten. In fact an increase of the available balancing resources might be neutralised by a much stronger increase of

imbalances by BRPs. Cross border integration/diversification without stabilizing imbalances of BRPs: “fighting a losing battle ?”

Proactive/Reactive designs

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Roles and responsibilities Efficient use of system resources => TSO Power balance the system => TSO Energy balance => TSO or market party? “The Network Code on Electricity Balancing shall describe that the general objective of imbalance settlement in national balancing mechanisms is to ensure that BRPs support the system’s balance in an efficient way and incentivise market participants in keeping and/or helping to restore the system balance.” ACER FWGL on NC EB

“The Agency believes that the Network Code should put higher focus on decreasing the needs for TSOs to balance the system by imposing correct incentives and providing adequate and timely information to BRPs to balance themselves during the intraday

timeframe and as close as possible to real time.” - ACER opinion on NC EB

Proactive/Reactive designs

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Proces Times NC LFC-R

Frequency Containment Frequency Restoration

Joint TSO’s Pro-rata

Time target

Proactive/Reactive designs

Reserve Replacement

Individual TSO or Market

Individual TSO MOL

Time target

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Imbalance Settlement Period NC EB Pro-active TSO design

Frequency Containment Frequency Restoration

Reserve Replacement

Individual TSO or Market

Time target

Proactive/Reactive designs

Time target

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Imbalance Settlement Period NC EB Re-active TSO design

Frequency Containment Frequency Restoration

Reserve Replacement

Individual TSO or Market: IntraDay, Dispatch Time target

Proactive/Reactive designs

Time target

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TSO Control Concepts Characteristics Reactive

Proactive

All TSO’s

Some TSO’s

Curative Objectives

Preventive Objectives

̵

Contain Frequency Deviation

̵

Non-activation FRR

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Return to Control Program/Frequency

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Create Margin

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Release Activated FCR

̵

Optimization

Input

Input

̵

̵

Actual Frequency deviation, ACE

Means

̵

Frequency Containment Reserves

̵

Frequency Restoration Reserves

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Market Incentives

Proactive/Reactive designs

TSO Expected System Imbalance

Means

̵

Replacement Reserves

̵

Eliminate Market Incentives

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TSO Control Concepts Characteristics Incentive Based

Proactive

Some TSO’s

Some TSO’s

Objectives

Objective

̵

̵

limit TSO control actions

Means

̵

low activation prices

Means

̵

Induce Incentives to BRP’s to reduce System Imbalance

Eliminate Incentives to BRP’s to self balance or reduce System Imbalance

̵

Only Fast FRR reserves needed

̵

Replacement Reserves needed

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ID GCT close-to-real time

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ID GCT early before real-time

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Short ISP

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Long ISP

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Single Imbalance pricing

̵

Dual Imbalance pricing

Proactive/Reactive designs

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Proactive/Reactive designs

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NL Hybrid 90% of ISP’s Single Pricing

Proactive/Reactive designs

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Evolution system imbalance BE

Double average pricing

Single marginal pricing Enhanced real-time balancing information Stronger incentives via imbalance pricing

Proactive/Reactive designs

Presenter: Thameur Baatout

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End

Proactive/Reactive designs

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