Research On Optimal Operation Of Energy Management System Of Intelligent Community Based On Game Theory

With the development and application of distributed power generation systems such as photovoltaic power generation,wind power generation and fuel cell,more and more prosumers have appeared in the distribution network side of power system.For this reason,smart homes have changed from traditional consumers to prosumers,who are consumers participating in the production of electric energy and playing important roles in realizing energy transmission and improving the operation efficiency of power grid.In view of the feature that the role of the prosumer can be changed,the traditional single objective optimization method has been difficult to get good optimization results.Therefore,taking advantage of the variable role features of prosumers and clustering of energy management have become a research hotspot.Taking photovoltaic(PV)prosumers and wind turbine(WT)prosumers as the research objects,optimal operations of EMS for intelligent communities are in-depth researched based on game theory in this paper.The main works are as follows:For PV prosumers,the mathematical models of prosumers are firstly discussed,and a mathematical model is established to maximize the profit of prosumer’s selling energy or minimize the cost of prosumer’s buying energy.Secondly,for this paper,a non-cooperative master-slave game method suitable for the energy optimization management of PV prosumers is proposed,and the peer-to-peer model(Peer-to-Peer,P2P)of energy management for PV prosumers is modeled and optimized.Thirdly,in view of the power shortage or surplus mode of the smart community,a strategy of taking buyers or sellers as the leader is designed,a noncooperative game model is designed for buyers or sellers.It provides better scheduling flexibility and economic advantages.In addition,based on the interior point method and the proposed model,the optimal energy schedule of the prosumer can be derived to achieve the lowest cost of the buyer or the highest profit of the seller.A case study is used to verify the rapid convergence of the algorithm and reflect the benefits of the energy P2 P trading model.To maximize the benefits of the overall alliance for intelligent communities,a market transaction model based on the cooperative game is proposed to optimize the energy management of the smart community,aiming at prosumers who have installed two different types of power generation equipment.This method realizes the sharing of information and energy between prosumers through the intelligent communication and control system,which maximizes the overall benefits of the intelligent community.A case study is used to verify the method proposed in this paper can bring great economic benefits to the intelligent community.Finally,to ensure the stability of the alliance,the Shapley value method is used to distribute the income.It is proved that this method not only brings great benefits to the smart community,but also enables each participant to obtain additional income.