Abstract：Global technological progress makes distributed energy resources(DERs) develop rapidly. Virtual power plant (VPP) can effectively integrate all types of DERs to participate in the power market as a whole, but how to realize the reasonable profit allocation among multiple interest members in VPP remains to be studied. This paper used the conditional value at risk (CVaR) to measure the risk of profit fluctuation caused by the uncertainty of VPP members, and constructed a VPP market competition model that takes into account various DERs to maximize VPP returns under the controllable risk conditions. On this basis, considering risk level, profit contribution and profit growth rate, a VPP profit distribution model suitable for multi-members is proposed based on the improved multifactor Shapley value method. The simulation results show that the model can effectively improve the overall return of VPP and its internal members, and can guarantee the fairness and rationality of profit allocation under various risk levels, encourage DERs to join VPP and improve alliance stability.
麻秀范, 余思雨, 朱思嘉, 王戈. 基于多因素改进Shapley的虚拟电厂利润分配[J]. 电工技术学报, 2020, 35(zk2): 585-595.
Ma Xiufan, Yu Siyu, Zhu Sijia, Wang Ge. Profit Allocation to Virtual Power Plant Members Based on Improved Multifactor Shapley Value Method. Transactions of China Electrotechnical Society, 2020, 35(zk2): 585-595.
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2020, Vol. 35 
