Multi-party transaction optimization decision-making in microgrid electricity market based on blockchain Berge-NS equilibrium

Abstract

A multi-agent transaction optimization decision-making method based on blockchain Berge-NS equilibrium is proposed, aiming to protect user interests and achieve carbon reduction objectives. Firstly, by improving the utility function of electricity users and quantifying the impact of blockchain technology on the electricity utility of market entities, a blockchain based P2P electricity trading architecture for microgrids is constructed, and a blockchain network and utility function for electricity users are designed; Secondly, the Evolutionary Game Theory based on bounded rationality decision-making is introduced to construct a Berge-NS game model on both sides of electricity supply and demand. The distributed iterative algorithm and step size control method are used to solve the Nash equilibrium, and the strategy evolution of demand side subjects in the game process is studied through dynamic processes; Finally, numerical simulations were conducted to analyze the trading strategies of bilateral contract markets, centralized trading markets, and dual layer decision-making models for electricity sellers, verifying the feasibility and effectiveness of the models and algorithms. The experimental results show that the proposed multi-agent trading Berge-NS decision-making method for microgrid electricity market exhibits certain performance advantages in reducing carbon emissions, lowering user electricity costs, and improving user satisfaction.