Heuristic optimisation of state-of-charge feedback controller for hourly dispatch of hybrid PV/BES system

This paper presents an improved state-of-charge feedback (SOC-FB) control scheme for battery energy storage (BES) for used in hourly dispatch the output of hybrid photovoltaic (PV) with battery energy storage (BES) system. Heuristic optimisation approaches employing the genetic algorithm, gravitational search algorithm and particle swarm optimisation are used in obtaining the optimal control parameters for the SOC-FB controller in tracking the hourly dispatched set-point (PSET) curve of the PV/BES system. The studied multi-parameter optimization problem also considers the evaluation of the optimal size of the BES. The performance of the heuristic optimization techniques are validated by comparing the results obtained from Matlab simulation with the results from previous works. In addition, the optimal controller with the proposed BES size is further validated through simulation using an actual PV system output data.