Multi-agent Cooperative Game Trading Method for Virtual Power Plants Considering Reputation Value
With the increasing integration of distributed resources,virtual power plants as aggregators of multiple participants have garnered considerable attention in the electricity market.However,the uncertainty of output from distributed resources and individual profit-seeking behaviors may lead to default during power transactions.Therefore,this paper proposes a cooperative game-based electricity trading method for virtual power plants that considers reputation values.Firstly,a reputation management mechanism based on the completion rate of contracted electricity is established for the participants within the virtual power plants,along with a multi-party cooperative output model based on profit maximization.Secondly,the Shapley value method from cooperative game theory is employed to determine the initial profit allocation scheme.Subsequently,to incentivize participants to fulfill their transaction contracts and transfer transaction risks reasonably,reputation values are introduced to adjust the initial scheme,resulting in an improved profit distribution scheme.Finally,computational examples using Matlab demonstrate that the total profit of each participant increases by approximately 101.16％after cooperation.A comparison with traditional Shapley value-based profit allocation schemes shows that the profit variations of participants with the highest and lowest reputation values are approximately 1.04％and 3.13％respectively,validating the effectiveness and rationality of the proposed method.
Virtual Power PlantCooperative GameReputation ValueShapley Value MethodElectricity Trading
万方数据
维普
