Research on bidding strategy of microgrid based on nash game theory

2019 3rd International Workshop on Renewable Energy and Development

能源学;生态环境科学

Chen, Pei-Guang^1 ; Chen, Kai-Fu^2 ; Tian, Zi-Hao^1

Institute of Economic and Technology, State Grid Jilin Sheng Electric Power Supply Company, 1427 Pingquan Road, Nanguan District, Changchun

130062, China^1

College of Physics, Jilin University, Qianjin Street No. 2699, Changchun City, Jilin Province

130012, China^2

关键词: Active power distributions;    Bidding strategy;    Competitive power markets;    Electricity trading;    Nash equilibria;    Optimal selection;    Profit maximization;    Theory and modeling;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/267/4/042051/pdf
DOI  :  10.1088/1755-1315/267/4/042051

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Based on the analysis of the characteristics of microgrid power generation, low network loss and low pollution, the microgrid power market is established based on multi-agent theory to solve the power interaction between microgrid (MG) and active power distribution network. Considering an imperfectly competitive power market, the Nash game theory is used to analyze the microgrid bidding strategy. The study found that the MG participating in the bidding can maximize the profit through the bidding strategy with high scale factor and low-cost quotation. Once the bidding strategy of a microgrid is changed, other microgrids will adjust the bidding strategy accordingly. But the electricity trading market will eventually achieve Nash equilibrium. Finally, the bidding strategy and optimal selection scheme of MG's own profit maximization are obtained by using game theory and model.