Multi-Agent Based Optimal Bidding Strategy for Power Producer in Power Market
作者
XU Jun-hua,Gui-Dong Lin,Jing-Yu Benjamin Tan,Ji-Zhong Xue
出处
期刊:International Conference on Machine Learning and Cybernetics日期:2023-07-09卷期号:: 564-568被引量:3
标识
DOI:10.1109/icmlc58545.2023.10328004
摘要
Under the background of electricity marketization, power producers can obtain their own ideal benefits through bidding side in the market environment. However, in the process of market transaction, the bidding strategy it chooses will affect its own maximum benefit. Therefore, this paper will construct a multi-agent based optimal bidding system for power producers to simulate the bidding process of power producers, and solve the optimal bidding strategy of starting power producers through multiple iterative optimization. Finally, the bidding process of generators under a typical 9-bus power grid system is analyzed by an example. The results show that the proposed system can effectively solve the optimal bidding strategy of generators.