Virtual Power Plant With Distributed Energy Resources Research On Optimal Scheduling And Revenue Distribution Strategy

With the rapid development of distributed energy resource(DER),it will become an important part of the new power system.In order to cope with the increasing complexity of power system operation and improve the overall competitiveness and economy of DER,the virtual power plant(VPP)operation mode can effectively integrate the heterogeneous,dispersed and diverse DER resources.The aggregation and optimization of distributed power supply,controllable load and energy storage in the form of virtual power plant provides a solution for the development of DER production and utilization in new power system.At the same time,with the increasingly open power market and multiple energy players participating in the market,different stakeholders in virtual power plants can improve economic benefits through energy trading.However,each energy subject often belongs to different interest groups,so it is very important to realize a fair and reasonable income distribution among multiple subjects in the virtual power plant.In virtual power plant,uncertain factors such as undispatchable unit output and load often bring risks to the operation decision of virtual power plant.Firstly,from the perspective of technical and economic characteristics and aggregation mechanism of dispatchable units,nondispatchable units,energy storage devices and flexible loads,this study quantified the risks of uncertainty factors in virtual power plants based on conditional value-at-risk theory,and established a day-ahead scheduling model of virtual power plants considering risk preference.The operation risk level of virtual power plant is reduced.Under the maximum operation risk level of virtual power plant,the operation benefit of virtual power plant is maximized as the goal to guide the adjustment of the operation strategy of virtual power plant.Secondly,this study considered the internal multi-agent income distribution method faced by virtual power plant,combined with the actual operation output of each entity in the virtual power plant,the virtual power plant to participate in the electricity market to achieve a fair distribution of income.A cooperative income distribution strategy reflecting the real value of each subject in VPP is proposed,which adopts the asymmetric Nash bargaining game theory.Considering the four factors of marginal contribution,output accuracy,extra contribution and profit growth rate,the actual contribution of each subject to the virtual power plant alliance profit was quantified.In this study,a model of income distribution among alliance members is established,which takes the income of each distributed energy entity participating in the market as the negotiation inconsistency point,and uses the improved asymmetric Nash bargaining to distribute the income due to each entity in the virtual power plant.In the example of this study,a virtual power plant composed of distributed wind farm,photovoltaic farm,gas turbine,energy storage and interruptible load is constructed for simulation.This study analyzes the effects of different risk preferences on the virtual power plant’s participation in the electricity market.Then,the results of three income distribution modes,namely independent operation,marginal distribution of cooperative game and improved asymmetric Nash bargaining,are compared and analyzed.It is proved that the proposed method can keep the enthusiasm of each subject to participate in cooperation.Finally,the effectiveness of the proposed model and method is verified by a simulation example,and the fairness and rationality of the proposed method are proved by comparing the calculated results.