Optimal Location and Sizing of BESS for Performance Improvement of Distribution Systems with High DG Penetration

This work proposes an optimal location and sizing of battery energy storage system (BESS) installation for performance improvement distribution systems with high distributed generation (DG) penetration level where the DGs comprise photovoltaics (PV) wind turbines (WT). The BESS can reduce costs incurred in systems, alleviate reverse power flow when are DG level, also achieve peak shaving during demand. To find BESS, three optimization algorithms, genetic algorithm (GA), particle swarm (PSO), salp (SSA), applied, their performances compared. considered objective function is consisting transmission loss cost, voltage deviation cost. compared terms loss, demand, regulation reductions. IEEE 33- 69-bus tested to investigate installation. results found that could successfully decrease improve profile, losses, flow, PSO SSA be best competitive algorithms. So, proposed method further applied practical future.