Abstract: Under the electric power market environment，the key to achieve the joint operation of virtual power

plants lies in the profit distribution among the internal multi-subjects. To solve the impact of the final profit

distribution，which is caused by the uncertainty of the clean energy output of each main body in the virtual power

plant，based on both CVaR and Monte Carlo simulation method，a penalty cost function considering the uncertain

risks of each subject in the virtual power plant was built ，a multi-agent cooperative game model considering a risksharing mechanism was formed. Analyzing the impact of each subject's risk on returns，The Nash negotiation theory was adopted to construct a profit distribution model comprehensively considering various aspects such as uncertain risks of each main body and marginal benefits. Finally，a reasonable distribution of the total revenue in the virtual power plant would be realized. Numerical example simulation shows that the model can effectively reduce the risk of system operation and maximize the benefits of each subject. Consequently，the distribution method is proved reasonable.

      Key words: virtual power plant；joint operation；conditional value at risk；risk sharing；cooperative game；

Nash negotiation