Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 28, Issue 1, Pages 562-563Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2012.2202201
Keywords
Chance constraint; contingency analysis; demand response; stochastic programming; unit commitment
Categories
Funding
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [1202264] Funding Source: National Science Foundation
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Although demand response (DR) encourages customers to voluntarily schedule electricity consumption based on price signals, the response from the consumer side could be uncertain due to a variety of reasons. In this letter, we study the stochastic unit commitment problem with uncertain demand response to enhance the reliability unit commitment process for independent system operators (ISOs). We use a stochastic representation of DR by scenario, and each scenario corresponds to a price-elastic demand curve. Contingency constraints are considered and in addition, a chance constraint is applied to ensure the loss of load probability (LOLP) lower than a pre-defined risk level. Finally, a sample average approximation (SAA) method is applied to solve the problem.
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