Optimization Allocation Of Generators In Virtual Power Plant Based On Game Theory

In order to alleviate the impact of the uncertainty of a single new energy output on the safe and stable operation of the power grid,and to improve the vitality of small-capacity distributed units participating in the power grid,it is necessary to give full play to the integrated and complementary role of multiple energy sources.Virtual Power Plant(VPP)has gradually attracted attention due to its superior aggregation characteristics.On the other hand,my country’s power market reform has also entered an important stage.Power supply companies have become completely independent economic entities.Traditional centralized planning concepts cannot reasonably reflect the role of demand-side resources in planning.Therefore,when planning a virtual power plant containing distributed power sources and flexible loads,it is urgent to reflect the competitive relationship between power source investors and the response characteristics of demand-side resources.This paper uses the virtual power plant to aggregate the programmable resources on the demand side of the distribution network and introduces the game theory method to establish a virtual power plant’s internal power planning model.Regarding wind,solar,fuel,and storage power investors as game participants,comprehensively consider the initial investment,annual operation and maintenance costs,income from electricity sales,fuel costs and other indicators,and treat them as investor income,to establish a multiplayer game model with multi-agent participation.By analyzing the possible cooperation and competition behaviors among power investors,we can fit the various possible combinations of virtual power plants.And then,on the premise of ensuring the absolute rationality of the participants,relying on the combination of the bad solution strategy and the particle swarm algorithm to solve the game models to obtain the power capacity configuration and overall benefits of the virtual power plant under different aggregation modes.Study the distribution strategy of the internal revenue of the virtual power plant,considering that the game model is more complicated in the multiplayer game,and there may be inconsistencies between individual rationality and the overall rationality,resulting in poor overall revenue,combined with the proportion of power installed capacity,the risk preference coefficient of participants,The marginal contribution value improves the shapley value allocation method to ensure that the virtual power plant can operate stably in the most economical mode,and compared with the traditional distribution according to capacity and distribution according to shapley value method to verify the effectiveness of the proposed method.The strategy of flexible load participation in interaction is proposed,and the peak shaving performance of two types of flexible loads,which are excitable load and interruptible load,is compared,and the types of flexible loads participating in the virtual power plant are determined.Incorporate demand-side flexible loads into virtual power plant resources in the form of load aggregators,forming a peer-to-peer relationship with distributed power sources,and study the impact of flexible loads on virtual power plant planning.