分布式点对点(peer to peer,P2P)电能交易能促进能源就近达到供需平衡,在保证公平性的同时提高电网利用效率。该文提出P2P电能交易模型,并基于非对称纳什谈判(asymmetric nash bargaining,ANB)理论研究合作收益分配机制。首先,建立P2P电能交易双方合作模型,二者通过合作产生合作剩余,然后基于非对称纳什谈判理论构建交易双方的收益分配模型,使得合作收益能在买卖双方间得到合理分配,最后通过算例验证所提合作博弈模型的有效性。仿真结果表明,交易双方通过合作,可以较大幅度提高各主体的运行效益以及合作联盟的整体效益,也能体现P2P电能交易卖方和买方在联盟中贡献大小的差异,可以更合理地分配合作收益。
This paper analyzes the generalization of minimax regret optimization(MRO)under distribution shift.A new learning framework is proposed by injecting the measure of con-ditional value at risk(CVaR)into MRO,and its generalization error bound is established through the lens of uniform convergence analysis.The CVaR-based MRO can achieve the polynomial decay rate on the excess risk,which extends the generalization analysis associated with the expected risk to the risk-averse case.
