基于可行性检测的考虑风电和需求响应的机组组合鲁棒优化方法  

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

作　　者：仉梦林[1] 胡志坚[1] 李燕[1] 谢仕炜 ZHANG Menglin;HU Zhijian;LI Yan;XIE Shiwei(School of Electrical Engineering, Wuhan University, Wuhan 430072, Hubei Province, Chin)

机构地区：[1]武汉大学电气工程学院

出　　处：《中国电机工程学报》2018年第11期3184-3194,共11页Proceedings of the CSEE

摘　　要：在含风电电力系统中考虑了价格型需求响应,针对风电与价格型需求响应存在的不确定性,提出了一种适用于预调度方案可行性检测的鲁棒调度方法。所提调度模型分为两个阶段,第一阶段为预调度阶段,在考虑第二阶段可行性的基础上制定机组开停机计划和出力方案;第二阶段为再调度阶段,用于不确定参数的关键场景辨识和预调度方案的可行性检测。对调度模型呈现的min-max-min形式的含有不确定参数的两阶段优化问题,采用列约束生成（column-andconstraint generation,C＆CG）与Benders分解相结合的二阶段法进行求解。对min-max-min形式的简单算例及改进的IEEE-118节点系统的测试结果表明,所提调度模型能有效保证预调度方案的可行性,且C＆CG-Benders两阶段求解方法要优于Benders-Benders求解方法。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.

关 键 词：风电不确定性 价格型需求响应 鲁棒优化 列约束生成法 机组组合 

分 类 号：TM73[电气工程—电力系统及自动化]