建立面向移动储能参与综合能源体辅助服务优化调度模型,采用列与约束生成法(column and constraint generation,C&CG)处理综合能源体内部风力、光伏发电的不确定性,建立电动汽车参与综合能源体辅助服务优化模型,并进行 24h优化调度.算例仿真结果表明,移动储能参与综合能源系统辅助服务,可以有效降低综合能源主体的运行成本,验证了所构建模型的有效性.
Research on the optimal scheduling of integrated energy body for mobile energy storage auxiliary services
An optimal scheduling model for mobile energy storage participation in integrated energy body auxiliary services is established.A C&CG method is used to deal with the uncertainty of wind and PV power generation within the integrated energy body,and an optimization model for electric vehicle participation in integrated energy body auxiliary services is established and 24 hours optimal scheduling is carried out.The algorithm simulation verifies the effectiveness of the constructed model,the results show that the mobile energy storage can effectively reduce the operation cost of the integrated energy body by participating in the auxiliary service of the integrated energy system.
mobile energy storageintegrated energy bodyauxiliary servicescolumn and constraint generationoptimal dispatch