Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant  

作　　者：Zhongkai Yi Yinliang Xu Xuan Wei Hongbin Sun 

机构地区：[1]Tsinghua Shenzhen International Graduate School,Tsinghua University,Shenzhen 518055,China [2]Department of Electrical Engineering,Tsinghua University,100084 Beijing,China

出　　处：《CSEE Journal of Power and Energy Systems》2025年第2期692-704,共13页中国电机工程学会电力与能源系统学报(英文)

基　　金：supported by a Science and Technology Project of State Grid Corporation of China“Research on urban power grid dispatching technology for large-scale electric vehicles integration”(No.5108-202119040A-0-0-00).

摘　　要：In addition to renewable energy sources and market prices uncertainties, the regulation commands issued by the superior market operator are unpredictable factors within the virtual power plant (VPP) bidding range. To avoid branch power flow outage and voltage violation under uncertain regulation commands, a tri-level robust optimization-based day-ahead energy and regulation service bidding strategy for a generalized VPP, considering various distributed energy resources is proposed, in which the VPP bidding strategy, worst scenario estimation approach and regulation service scheduling method are formulated at three optimization layers, respectively. Then, the proposed tri-level model is transformed into an equivalent, single-level, mixed integer, second-order cone programming problem with rigid proof. Numerical simulations illustrate the effectiveness and superiority of the proposed approach by comparison with other prevailing methods in recent literature.

关 键 词：Bidding strategy distributed energy resources power market tri-level optimization virtual power plant 

分 类 号：TM73[电气工程—电力系统及自动化]