期刊
IEEE TRANSACTIONS ON POWER SYSTEMS
卷 26, 期 4, 页码 2197-2206出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2011.2121095
关键词
Reserve requirements; stochastic unit commitment; wind power integration
资金
- NSF [IIP 0969016]
- U.S. Department of Energy
- Siemens Corporation under the UC Berkeley CKI initiative
- Federal Energy Regulatory Commission
- Directorate For Engineering
- Div Of Industrial Innovation & Partnersh [0969016] Funding Source: National Science Foundation
We present a two-stage stochastic programming model for committing reserves in systems with large amounts of wind power. We describe wind power generation in terms of a representative set of appropriately weighted scenarios, and we present a dual decomposition algorithm for solving the resulting stochastic program. We test our scenario generation methodology on a model of California consisting of 122 generators, and we show that the stochastic programming unit commitment policy outperforms common reserve rules.
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