The Bidding Strategy Of Multi-agent Virtual Power Plant For Participating In Day-ahead Power Market

Encouraged by China’s energy development policy,distributed energy resources are developing rapidly and will become an important part of the power system in the future.Distributed energy resources has the advantages of environmentally friendly and flexible,and can adopt the development needs of new power system.However,distributed energy resources have the characteristics of scattered location and small capacity,which makes it difficult for the system to be centrally and uniformly managed,and will endanger the power balance,security and stability of the system.Virtual power plants can aggregate various distributed energy sources as a whole,and realize intelligent aggregation and effective management of distributed energy resources,which has become a hot topic in the study of distributed energy management issues.This paper take the virtual power plant as the research core.Virtual power plant can aggregate multi-agent distributed energy resources as the virtual whole,participate in the bidding of electric energy market and peak regulation market,cooperate with each member internally,improve the economy of the whole and each member,and encourage each distributed energy resources to participate in the virtual power plant.For a virtual power plant where the internal members are multiple stakeholders,this paper use a partial centralized management mode,to ensure the needs of multi-agent distributed energy to participate in the bidding decision and information security and privacy.This paper take the virtual power plant operator(referred to as the operator)as the manager,and established an overall strategic framework for the operator to participate in market bidding externally and make coordinate decision internally.Faced with the problem of the operator for participating in the bidding in the electric energy market and peak regulation market,this paper studied the rules of virtual power plant for participating in the day-ahead electric energy market and peak regulation market.Aiming at the maximum comprehensive economic benefit of virtual power plant participating in the two markets,this paper puts forward the bidding strategy of the operator for participating in the day ahead electric energy market and peak shaving auxiliary service market,and puts forward the method to avoid the capacity conflict of flexible resources in the two markets.Faced with the problem of cooperation between operators and multi-agent distributed energy.Based on the Stackelberg game theory,this paper has constructed the Stackelberg game mechanism between the operator and controllable distributed generation and flexible load.Considering the characteristics of energy storage,wind power and photovoltaic,The operator compensates for the operation of energy storage and fully absorbs the output of wind power and photovoltaic.Considering the external bidding and internal coordination optimization of the operator,this paper put forward the internal and external coordinated bidding strategy of virtual power plant’s operator for participating in the electric energy market and peak regulation market,cooperating with each member internally.A multi-agent two-level bidding model between the operator and internal members was established.The particle swarm optimization algorithm and interior point method were used to solve the model.Finally,an example was given to prove the rationality and effectiveness of the proposed strategy.The proposed strategy can increase the economic benefits of the whole and internal members,and enhance the enthusiasm of distributed energy resources to participate in virtual power plant.