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Optimization and Reliability Evaluation of Hybrid Solar-Wind Energy Systems for Remote Areas

This paper presents optimization and reliability analysis of renewable energy system for farm house electricity and irrigation load demand located at remote area. Optimum sizing of solar PV, wind turbine and battery energy system has been obtained to fully utilize the capacity of the system. The economic analysis has been carried out for different configuration of hybrid energy system in terms of net present cost (NPC), operating cost (OC), levelized cost of energy (LCOE). This paper proposes a recent evolutionary technique based on meta-heuristic optimization algorithm called grasshopper optimization algorithm (GOA), to be used for selecting optimal energy system configuration. Markov method has been employed for evaluating the reliability indices i.e. system failure rate, repair rate, availability, unavailability, mean up time (MUT), mean down time (MDT), loss of load probability (LOLP) and expected energy not supplied (EENS). Economic analysis, GOA and Markov method-based result shows that hybrid PV-Wind-battery energy system is more reliable and cost effective system as compared to other configuration. The NPC and LCOE of the optimal hybrid PV-wind-battery energy system are $26,450 and 0.502$/kWh respectively. The optimal hybrid PV-wind-battery energy system reliability indices like LOLP (0.0000103), MUT (84.60), EENS (0.63189), failure rate (0.011819) and unavailability (0.09027) are evaluated.