Abstract：An optimal dispatch method of virtual power plant based on the bi-level fuzzy chance constrained programming is proposed in this paper.Firstly,the distributed power plants and the active loads are integrated in the form of the virtual power plant.Secondly,based on the price incentive mechanism,the interaction between the electric network and the virtual power plant is described by the bi-level chance constrained programming.The emission costs of carbon,the charge and discharge costs of electric vehicles,the comfort benefits of air conditioning,and the imbalance costs of the electric network and the virtual power plant are also analyzed in detail.Thirdly,the uncertainty of the distributed new energy power plants and the loads are further described with fuzzy parameters.Then a bi-level fuzzy chance constrained programming model for the optimal dispatch of the virtual power plant is formed.For translating the fuzzy chance constrains into the deterministic constrains,the support vector regression,the fuzzy simulation,and the crisp equivalent forms are utilized simultaneously.Then it is solved by combining the pattern search algorithm with the artificial bee colony algorithm.The case study verifies the effectiveness of proposed method in the end.
段翩, 朱建全, 刘明波. 基于双层模糊机会约束规划的虚拟电厂优化调度[J]. 电工技术学报, 2016, 31(9): 58-67.
Duan Pian, Zhu Jianquan, Liu Mingbo. Optimal Dispatch of Virtual Power Plant Based on Bi-Level Fuzzy Chance Constrained Programming. Transactions of China Electrotechnical Society, 2016, 31(9): 58-67.
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2016, Vol. 31 
