基于两阶段鲁棒博弈的综合能源微网源-荷协调优化调度

Proposes a two-stage robust game method for source-load coordination in integrated energy microgrids (IEM), combining Stackelberg game and robust optimization. It models IEM operator as leader and users as followers, handles wind power uncertainty via worst-case scenario analysis, linearizes the bi-level problem using KKT conditions, and solves it via nested column-and-constraint generation.

提出1种基于主从博弈和两阶段鲁棒优化的综合能源微网IEM(integrated energy microgrid)源-荷协调优化调度方法.首先,计及负荷侧的需求响应,构建以IEM运营商为领导者、用户为跟随者的主从博弈模型;其次,考虑风电出力的不确定性,建立IEM源-荷两阶段鲁棒博弈模型,其第一阶段进行源-荷之间主从博弈,第二阶段求解最恶劣的风电出力场景;最后,采用卡鲁什·库恩·塔克KKT(Karush Kuhn Tucker)条件将第一阶段双层博弈问题转换成单层线性化问题,整体两阶段鲁棒优化问题通过嵌套列和约束生成算法进行求解.结果表明,提出的两阶段鲁棒博弈模型可以实现源-荷之间的利益均衡,有效应对新能源不确定性带来的影响.