王鹏,张勤,季益俊.“双碳”目标下考虑多主体互动的虚拟电厂合作博弈鲁棒优化策略[J].电测与仪表,2025,62(10):85-95. WANG Peng,ZHANG Qin,JI Yijun.Robust optimization strategy for the cooperative game of virtual power plant considering multi-agent interaction under the dual carbon target[J].Electrical Measurement & Instrumentation,2025,62(10):85-95.
“双碳”目标下考虑多主体互动的虚拟电厂合作博弈鲁棒优化策略
Robust optimization strategy for the cooperative game of virtual power plant considering multi-agent interaction under the dual carbon target
为应对分布式光伏(photovoltaic, PV)出力和负荷需求的随机性给电力系统的经济运行造成的影响,文中提出了一种考虑多主体互动的虚拟电厂(virtual power plant, VPP)合作博弈鲁棒优化策略。文中在电能交易和无功辅助服务市场下,分别建立基于价格配额曲线的配电网优化运行模型和基于点对点(peer to peer, P2P)能量交换的VPP优化运行模型,基于KL(kullback-leibler)散度的分布鲁棒优化下,以配电网制定的电价和VPP确定的上网功率为交互变量,通过配电网和VPP间的互动实现不同市场主体间的利润分配平衡,在此基础上,根据配电网和VPP互动得到的决策信息,基于纳什议价模型对各VPP进行利益分配,并采用一致性交替方向乘子法(alternating direction method of multipliers, ADMM)进行分布式求解,实现多VPP间的合作博弈,在某城区配电系统上进行的算例仿真验证了文中所提策略的有效性。
英文摘要:
To address the impact of the randomness of distributed photovoltaic (PV) output and load demand on the economic operation of the power system, this paper proposes a robust optimization strategy for the cooperative game of virtual power plants (VPP) considering multi-agent interaction. Under the electricity trading and reactive power auxiliary service markets, an optimal operation model of the distribution network based on the price-quota curve and an optimal operation model of the VPP based on peer-to-peer (P2P) energy exchange are established respectively. Under the distributionally robust optimization based on the kullback-leibler (KL) divergence, with the electricity price formulated by the distribution network and the grid-connected power determined by the VPP as the interaction variables, the profit distribution balance among different market entities is achieved through the interactive between the distribution network and the VPP. On this basis, according to the decision-making information obtained from the interactive between the distribution network and the VPP, the profit distribution for each VPP is carried out based on the Nash bargaining model, and the alternating direction method of multipliers (ADMM) is adopted for distributed solution to realize the cooperative game among multiple VPP. The example simulation conducted on an urban distribution system verifies the effectiveness of the strategy proposed in this paper.