发明名称 INTEGRATED OPTIMAL PLACEMENT, SIZING, AND OPERATION OF ENERGY STORAGE DEVICES IN ELECTRIC DISTRIBUTION NETWORKS
摘要 A method and system are provided. The method includes co-optimizing a placement, a sizing, and an operation schedule of at least one energy storage system in an energy distribution system. The energy distribution system further has at least one renewable energy resource and at least one distributed energy resource. The co-optimizing step includes generating a placement-sizing-scheduling co-optimization model of the at least one energy storage system by integrating therein a distribution optimal power flow optimization model of the energy distribution system and components thereof. The distribution optimal power flow optimization model integrates therein at least an energy storage system model, a renewable energy resource model, and a distributed energy resource model. The co-optimizing step further includes optimally determining, using a processor-based placement-sizing-scheduling optimizer, the placement, the sizing, and the operation schedule of the at least one energy storage system based on the placement-sizing-scheduling co-optimization model.
申请公布号 US2015261892(A1) 申请公布日期 2015.09.17
申请号 US201414562915 申请日期 2014.12.08
申请人 NEC Laboratories America, Inc. 发明人 Bozchalui Mohammad C.;Sharma Ratnesh;Hooshmand Ali
分类号 G06F17/50;G06F17/10 主分类号 G06F17/50
代理机构 代理人
主权项 1. A method, comprising: co-optimizing a placement, a sizing, and an operation schedule of at least one energy storage system in an energy distribution system, the energy distribution system further having at least one renewable energy resource and at least one distributed energy resource, wherein said co-optimizing step comprises: generating a placement-sizing-scheduling co-optimization model of the at least one energy storage system by integrating therein a distribution optimal power flow optimization model of the energy distribution system and components thereof, the distribution optimal power flow optimization model integrating therein at least an energy storage system model modeling the at least one energy storage system, a renewable energy resource model modeling the at least one renewable energy resource, and a distributed energy resource model modeling the at least one distributed energy resource; andoptimally determining, using a processor-based placement-sizing-scheduling optimizer, the placement, the sizing, and the operation schedule of the at least one energy storage system based on the placement-sizing-scheduling co-optimization model.
地址 Princeton NJ US