Day-ahead Capacity Management for Directly Dispatched Multiple Battery Energy Storage Participating in Peak Regulation

With the increasing scale of wind power integration, the uncertainties bring challenges to peak regulation of power systems. More and more battery energy storage stations (BESSs) are connected to power systems, which can be as an effective means to solve the mentioned-above issue. There are both large-scale BESSs on the bulk-gird side and distributed BESSs on the distributed-grid side, which bring potential to power systems. In this paper, a day-ahead optimization dispatch model for power systems considering multiple BESSs participating in peak regulation is established. The proposed model combines the large-scale BESSs and the distributed BESSs to participate in the dispatch of the power system. This can alleviate the issue of wind power accommodation and enhance the operation economy of power systems. Finally, the validity and superiority of the proposed model are tested by the IEEE five-unit power system.