Research on Response Behavior Model of Trading Entities Considering the Marketization Environment of Distributed Generation
Zhang Di1,2, Miao Shihong1,2, Zhou Ning3, Tu Qingyu1,2, Li Yaowang1,2
1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China; 2. Hubei Electric Power Security and High Efficiency Key Laboratory Huazhong University of Science and Technology Wuhan 430074 China; 3. State Grid Henan Electric Power Company Electric Power Research Institute Zhengzhou 450052 China
Abstract：With the deepening of the market-oriented trading policy of distributed generation, the positioning and behavior patterns of various trading entities in the market urgently need to be further clarified. In response to this critical demand, this paper focuses on the behavioral patterns of participating entities in the distributed power generation market environment. Based on the full consideration of actual policy restrictions and access specifications, a response behavior model is established for each transaction subject in a distributed power generation market environment. The Karush-Kuhn-Tucker (KKT) conditional transformation method is used to transform the original model into a bi-level programming model with a single lower-level programming problem, and the multi-objective evolutionary algorithm is used to solve the model. The model is simulated based on the actual distribution network system of a township. The simulation results verify the validity of the model. The research in this paper lays a theoretical foundation for the further development of distributed power generation market-oriented transactions.
张迪, 苗世洪, 周宁, 涂青宇, 李姚旺. 分布式发电市场化环境下各交易主体响应行为模型[J]. 电工技术学报, 2020, 35(15): 3327-3340.
Zhang Di, Miao Shihong, Zhou Ning, Tu Qingyu, Li Yaowang. Research on Response Behavior Model of Trading Entities Considering the Marketization Environment of Distributed Generation. Transactions of China Electrotechnical Society, 2020, 35(15): 3327-3340.
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2020, Vol. 35 
