Optimal Control of Autonomous PV-BESS-DG based AC Microgrid for Rural Electrification

This paper presents optimal control of an autonomous microgrid composed of a PV array- a synchronous generator-based diesel generator (Sync-Gen- DG) system along with a battery energy storage system(BES) for rural areas that are isolated from the main supply. The incremental conductance (INC) algorithm uses the genetic algorithm to compute the ideal step size (δ), which significantly improves the tracking of the maximum power point and increases the algorithm's efficiency. To enhance better fuel economy, DG operation is always kept in the fuel economy zone (FEZ). Generic sigmoid function-based adaptive VSC control (GS-FB-LMS) provides solutions for power quality issues such as harmonic elimination, and load leveling at PCC. The proposed technique gives better results in terms of convergence rate, steady-state error reduction, transition tracking efficiency, and self-coherence. MATLAB/ simpower tools are used for the simulation of the microgrid system.