Demand response characteristics of photovoltaic users based on social evolutionary game

Abstract

Considering the information interaction and policy learning characteristics of bounded rational users in the process of responding to electricity prices or incentive measures, this paper proposes a user demand response analysis model based on an evolutionary game model on social networks. First, considering that real economic people have information interaction and strategy learning and updating in decision-making, and the information interaction is a complex community system, the information interaction relationship between users is described by constructing a social network; secondly, according to the electricity price theory and The power supply and demand balance relationship, the response decision of a single user will affect the interests of other users, the game model is used to describe the decision-making process of group users; finally, considering the bounded rationality of users' processing of the acquired information, based on the evolution of social networks Game model to describe the user's response process to electricity prices and incentives. Simulations analyze the impact of different social network structures and electricity prices or incentives on user responses. The results show that the enhancement of the small world attribute of the user's social network will improve the user's response, and the increase of the price coefficient will reduce the user's willingness to use electricity.