Abstract

The stand-alone hybrid renewable power generation systems usually have lower costs with higher reliability than solar photovoltaic (PV) or wind energy system only. The most usual hybrid systems are PV/Wind/Battery and PV/Diesel/Battery. The excess energy is stored usually in lead-acid type of batteries. The optimization design is carried out by minimizing the unit cost of energy (UCOE) and GHG (Green House Gas) emissions (CO 2 , NO x and particles) for the various cases, comparing the results obtained by means of HOMER (Hybrid Optimization Model of Electric Renewable) software. In this paper, the optimal cost analysis of hybrid energy system is based on the load profile, solar irradiance, wind speed and price of fuel, which is collected from an un-electrified village near Bhubaneswar, Odisha in India. Moreover, the optimization of the system is obtained by varying the sensitivity variables like solar radiation and wind speed data. The cash flow summary of the hybrid system is obtained which will be useful for the optimal cost allocation of each individual component utilized in the system.

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