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首页> 美国政府科技报告 >Chance-constrained Two-stage Stochastic Program for Unit Commitment with Uncertain Wind Power Output (PREPRINT)
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Chance-constrained Two-stage Stochastic Program for Unit Commitment with Uncertain Wind Power Output (PREPRINT)

机译：具有不确定风电输出的机组约束的机会约束两阶段随机规划（pREpRINT）

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摘要

In this paper, we present a unit commitment problem with uncertain wind power output. The problem is formulated as a chance-constrained two-stage (CCTS) stochastic program. Our model guarantees that a certain portion of the wind farm output will be utilized at a given risk level. The developed model includes both the two-stage stochastic program and the chance-constrained stochastic program features. These types of problems are challenging and have never been studied together before, even though the algorithms for the two- stage stochastic program and the chance-constrained stochastic program have been recently developed separately. In this paper, a combined sample average approximation (SAA) algorithm is developed to solve the developed model effectively. The convergence property and the solution validation process of our proposed combined SAA algorithm is discussed and presented in the paper. Finally computational results indicate that increasing the utilization of wind farm output might increase the total power generation cost and our experiments also verify that the proposed algorithm can solve large-sized power grid optimization problems.

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