Power grid-charging operator cooperative operation optimization method and system

The invention discloses a power grid-charging operator collaborative operation optimization method and system, which describe heterogeneity and incompleteness of user decision behaviors based on a discrete selection model, and verify importance of information release on charging guidance. On the basis, through comprehensive optimization of the charging price data and the charging capacity data, user behaviors are guided, the space demand response capability of the charging load of the electric vehicle is effectively explored, the power supply cost of a power grid is reduced through source-load interaction, and the potential of collaborative optimization is proved. And finally, considering the loss of the offer of the charging operator, and based on a Nash negotiation game mechanism, realizing reasonable distribution of net benefits of cooperation between the power grid and the operator. 本发明公开了一种电网-充电运营商协同运行优化方法及系统，基于离散选择模型描述了用户决策行为的异质性与不完全理性，验证了信息发布对充电引导的重要性。在此基础上，通过充电价格数据与充电容量数据的综合优化，对用户行为进行引导，有效发掘了电动汽车充电负荷的