Optimal sizing of off-grid hybrid energy system based on minimum cost of energy and reliability criteria using firefly algorithm

Abstract

Solar and wind energy based hybrid energy system (HES) have received considerable global attention for remote applications where extension of grid supply is infeasible. This paper attempts to develop an optimal hybrid energy system model using available solar and wind energy resources with battery storage for fulfilling the electrical needs of three un-electrified remote villages located in Senapati district of Manipur, India. A Firefly algorithm based approach is used to find the optimal hybrid system configuration based on minimum cost of energy (COE) while satisfying a specified reliability criteria identified with loss of load probability (LOLP) reliability index. Further, system investigation has been carried out for optimal system feasibility at various values of LOLP. The optimal hybrid energy system is able to provide feasible solutions for LOLP values lying between 0 and 0.03. For LOLP value above 0.03, the system becomes infeasible as the COE increase with increase in LOLP.