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In order to study the influence of different types of demand response on the members of the electricity market in the market, a multi-agent model is used to study the behavioral strategies of independent market oligarchs in the electricity market in the day-ahead market, and the security-constrained unit commitment model is used to simulate specific market transactions. First, a demand response model was established, and the relationship between consumer profit and cost was determined using Taylor series expansion. Then the characteristics of the oligopoly market were analyzed, and a market clearing model by using a commitment model of security-constrained units was established, with the objective of maximizing agency profit, and including operation constraints. Finally, the IEEE6 node system was used for simulation to analyze the influence of different types of demand response behaviors on oligarchs and demonstrate the effectiveness of the model.

With the accelerating pace of China's electricity market reform, the construction of the electricity spot market has been put on the agenda. However, as the number and scope of market participants gradually expand, the market-oriented transaction power continues to rise, and the intraprovincial and interprovincial transaction varieties are increasingly abundant. How to design an intelligent and powerful system that can meet the performance requirements of high concurrency and high-frequency transactions in the future market is a major problem in power reform. Based on the research of theoretical research results, this paper builds the front-end interaction platform of the southern spot electricity system based on the regional center to provide a data declaration interface for market users, including market management, market declaration, market release, market evaluation, intelligent analysis, front-end data interface, security protection, and other functional modules, provide declaration information and some market evaluation results to the southern regional spot power system platform, and obtain clearance results and published information from this platform.