Research On The Interactive Strategy Of Power Supply And Demand Based On Real-Time Electricity Price

In the fast-developing smart grid,the traditional electricity price mechanism cannot reflect the real-time supply-demand relationship,and lacks flexibility and adaptability.As a mechanism that can reflect the relationship between power supply and demand,real-time electricity prices can regulate the supply and demand status of power more flexibly.In addition,the process of the electricity market is also continuing to advance and deepen,and more participants with self-decision-making capabilities and subjective initiative appear in the system.Therefore,it is very important to study the complex interactive behaviors between multiple agents in the system.In view of the above-mentioned problems,this paper conducts a research on the interactive strategy of electricity supply and demand based on real-time electricity prices,hoping to provide a reference for the establishment of a friendly open electricity market.This paper mainly considers two market conditions,one is a single retail market case with a single supplier and multiple users,and the other is a multi-agent electricity market case with a single wholesale and retail integration of multiple generators,multiple suppliers,and multiple users.In a single retail market,a distributed real-time electricity price demand response framework based on reward fairness is proposed.Under this framework,a behavioral welfare model is constructed to develop and use reward fairness strategies to return the saved costs as rewards to users.The interaction between users is expressed as a non-cooperative game,which provides sufficient conditions to ensure the uniqueness of the game equilibrium.To solve the model,a distributed algorithm was developed.In the multi-agent power market,a multi-agent dynamic two-layer game model is established by using master-slave game and evolutionary game.First,a master-slave game model of the wholesale market based on a bilateral contract mechanism is established at the upper level to study the interaction between power generators and suppliers.In the master-slave game between lower-level suppliers and users,a non-linear reward and punishment mechanism is proposed to guide users’ electricity consumption behavior.Secondly,the evolutionary game is used to simulate the user’s dynamic selection process.It further proved the existence of the Nash equilibrium solution,and designed a distributed algorithm to solve it.The research results of the paper show that under the method proposed in this paper,whether it is a single retail market or a multi-agent electricity market,the balance of supply and demand is achieved,and the stability of the system is ensured.At the same time,the proposed mechanism can benefit all participants in the system,so it can improve the subjective initiative of multiple stakeholders and establish a friendly open electricity market.Moreover,the distributed algorithm proposed in this paper has fast convergence speed and good stability,and can be used to solve similar problems in power market supply-demand interaction strategies.