Strategic Placement and Sizing of Centralized BESS in Distribution Network with Solar Photovoltaic Integration

This research proposes a novel optimization strategy for centralized BESS to mitigate various challenges within solar photovoltaic based distribution system. A sophisticated multi-objective method employing Particle Swarm Optimization (PSO) has been formulated to efficiently navigate the solution space for determining the optimal positioning and capacity of BESS. Battery Energy Storage Systems (BESS) are vital for modern power grids, but their high cost necessitates careful optimization of size and location. Their integration with renewables into existing grids remains challenging. The article focuses on challenges such as voltage profile deterioration, increased power losses and hightened peak demand. An issue with Several objectives are consolidated into a single criterion using the weighted sum method. The proposed approach aims to strategically position battery units at optimal locations with the most effective capacity. OpenDSS and MATLAB are used to implement the approach on a real-world three-phase unbalanced 19-bus distribution feeder. Our findings reveal notable reductions in power losses and enhanced voltage profiles across the network. Additionally, strategically placing BESS alleviates feeder loads during peak demand hours. The results highlight the efficacy of the proposed method in terms of distribution network performance improvement by optimizing BESS with a multiobjective approach.