Particle Swarm Optimizer for BESS Operation to Mitigate Voltage Deviation of the Modified IEEE 9-bus Power System

Lately, the implementation of distributed energies generation has increased and developed quickly. Intermittent generation leads to instability in the power grid, which creates variations in the power network voltage and frequency, and with the implementation of renewable sources, energy storage will play a crucial part in the Smart Grid. This technology has been shown to be capable of providing and improving the quality of the power system and to support valuable advantages in a variety of forms. Energy storage systems (ESSs) especially battery energy storage systems (BESSs), have recently attracted considerable activity in the electricity industry as an effective solution to alleviate the drawbacks of renewable energy systems. This paper addresses utilizing the Particle Swarm Optimization (PSO) algorithm to obtain the BESS operation in the integrated distribution network for the photovoltaic generation to mitigate the problem of voltage deviation. The efficacy of the proposed approach which is implemented in MATLAB/SIMULINK is verified by applying the PSO algorithm and power flow analysis to the modified IEEE 9-bus power system. The simulation results indicate that the PSO with power flow calculation is successful in determining the optimal BESS operation to minimize the voltage deviation.