Optimization Algorithm Design and Application Research of Power Market Congestion Management

The purpose of this paper is to study the optimization algorithm of congestion management in power market in order to improve the efficiency and fairness of power market. Therefore, this paper designs a new optimization algorithm-tabu search algorithm, and applies it to the actual congestion management problem through mathematical modeling. The experimental results show that the algorithm has achieved remarkable results in reducing congestion cost, improving market efficiency and reducing electricity price fluctuation, and can effectively solve the congestion management optimization problem and get a satisfactory optimization solution. Compared with the existing congestion management methods, the algorithm proposed in this study has higher computational efficiency and better market adaptability, and also shows its powerful ability and potential in solving complex optimization problems. This study provides scientific basis and support for the strategy selection and practice of congestion management in power market.