A Robust Optimization Method for Unit Commitment Considering Wind Power and Demand Response Based on Feasibility Testing

被引:0
|
作者
Zhang M. [1 ]
Hu Z. [1 ]
Li Y. [1 ]
Xie S. [1 ]
机构
[1] School of Electrical Engineering, Wuhan University, Wuhan, 430072, Hubei Province
来源
Hu, Zhijian (zhijian_hu@163.com) | 2018年 / Chinese Society for Electrical Engineering卷 / 38期
关键词
Column-and-constraint generation algorithm; Price-based demand response; Robust optimization; Unit commitment; Wind power uncertainty;
D O I
10.13334/j.0258-8013.pcsee.170654
中图分类号
学科分类号
摘要
The price-based demand response was considered in the power systems integrated with wind power, and a robust scheduling method applicable to detect the feasibility of the pre-dispatch decision was proposed, aimed at the uncertainty of the wind power and price-based demand response. The proposed scheduling model was divided into two stages, and the first stage was the pre-dispatch stage which was used for make the decision of unit commitment and outputs on the basis of considering the feasibility of the second stage, while the second stage was re-dispatch stage which was used for identifying the uncertain parameters and testing the feasibility of the pre-dispatch decision. For the two-stage optimization problem with uncertain parameters in the form of min-max-min that the scheduling model presented, a two-stage solving method combing column-and-constraint generation (C&CG) algorithm with Benders decomposition was adopted to solve it. The testing results on a simple min-max-min example and the revised IEEE 118-bus system show that the scheduling model can guarantee the feasibility of the pre-dispatch decision, and C&CG-Benders solving method presents a better performance than the two-stage Benders-Benders solving method. © 2018 Chin. Soc. for Elec. Eng.
引用
收藏
页码:3184 / 3194
页数:10
相关论文
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