Research on Distributed Energy Trading Strategy Based on Game Theory

How to determine the best strategy of each decision-making body so as to balance the interests of all parties in the power system is a very challenging topic. However, the traditional deterministic optimization theoretical system with single-agent decision-making as the main feature cannot overcome this difficulty. Under the background, the game theory facing the optimization and solving of complex multi-objective subjects will be a powerful means to solve the new difficulties of power grid operation. Therefore, it is necessary to design a trading strategy in which the transaction price changes in real-time according to the output of the unit according to the output characteristics of distributed energy. First of all, stipulate the time period for spot market transactions. In order to better facilitate the conclusion of the transaction, users can update the demand again before starting the transaction, so as to better meet the needs of users and prevent electricity consumption waste. Then, stipulate the transaction role and transaction scale in the market. This article sets up a transaction buffer, that is, the transaction ratio, which corresponds to the formation of the user’s electricity demand update in the previous stage, and the purpose is to promote the conclusion of the transaction. Finally, the bidding method is designed to fully consider the individuals participating in the market, so that individuals participating in market transactions can reflect their transaction demands on the transaction electricity price, which can lead to a healthier development of the electricity market and better maintenance of the interests of all parties in the market.