Improving Generator Flexibility

David SunALSTOM Power

Energy Management Business

ALSTOM Power - EMB - - P 2

Evolution of Generation Scheduling

1980 201020001990

•Ad-hoc advisory •UC, EconA/B, HTC•DP, heuristics

•RTO market-clearing •SCUC•LR, LP

•Smart-grid scheduling•SCUC+ DR + Storage•MIP, stochastic

Formation

Production

Extension

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Smart Grid Transforming the Energy Industry

Demand - energy, electricity

Environment – conservation, laws

Technology – power, IT

Choices - end-users, operators

Energy drives business model changes

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Impacts of Smart Grid Transformation on Energy System Operations

• Renewable Generation & Demand Response − Intermittent generation with limited forward visibility− Implicit, indirect control of stochastic distributed resources

• Reliability and efficiency mandates − MW & Price volatility− Asset portfolio (fleet/plant) optimization

• Expansion of choices through market mechanisms − Electricity products & services− Extending wholesale markets to retail exchanges

• Asynchronous decisions with distributed intelligence− Challenges in temporal and spatial coordination− Business organizational (mis)-alignment

Uncertainty Drives Value for Flexibility

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Addressing Uncertainty & VolatilityChallenges

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LMP 2009-7-1 (Wed)LMP 2009-7-11 (Sat)

Physical (MW) Financial ($)

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Resource Flexibility

• Model− Nominal parameters: notification, commitment, dispatch− Life-cycle impact parameters: econ.& physical impacts for

exceeding nominal range (e.g. ramping, max/min MW)• Data

− Equipment monitoring & diagnostic, performance analysis− Life-cycle impact analysis

• Balancing between flexibility and life-cycle impacts− Integrated co-optimization− Sensitivity information

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Fleet Optimizer

Multi-Tier Resource Optimization

Plant Optimizer

Advanced DCS (MPC)

DCS

Machine Control

Unit production targets, t= 1,…Tfor energy, reserves, etc.

System & Market model,Fleet targets/opportunities, Plant & unit models

Plant/Unit targets,Detailed component models Station services

Stead-state targets for plant Process:Boiler, Emission, BOP…

Dynamic Process model optimizedfor: process inter-dependencies and forward trajectories Dynamic trajectories for

manipulated & Controlled variables

Control performance tracking

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Smart Grid Decision Framework

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Dashboard –Scenario 1(Base)

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Dashboard –Scenario 1(Base)

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Dashboard –Scenario 1(Base with flexibility trade-offs)

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Dashboard –Scenario 1(Base with flexibility trade-offs)

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Dashboard –Scenario 3 (Base + DR + ES)

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Dashboard –Scenario 3 (Base + DR + ES)