Concurrent Optimization of Sizing and Scheduling for Battery Storage in Power Distribution Network

Modern power distribution infrastructure are characterised by efficient and reliable power delivery. However, utilities are facing challenges due to highly volatile demand pattern caused by the variety of loads used by the customers. The necessity of using battery storage systems (BSSs) has come into the scene to ease the challenges. However, planning and integration of BSSs in power distribution network is crucial. This paper presents a strategy for optimal sizing and charging discharging scheduling of BSSs in a power distribution network. The suitable size and schedule of BSSs in a 24-hour time frame has been identified using particle swarm optimization (PSO) technique with viewpoint of minimization of annualized network power loss cost and BSSs investment cost. To test the efficacy of the proposed method it has been is tested on a typical 28-bus Indian radial distribution system. The reduction of network power losses and improvement in low voltage points of the network in high demand hours using proposed model establishes its importance in distribution system (DS) expansion planning.