Optimal sizing of a stand-alone PV/wind/MHP/biomass based hybrid energy system using PSO algorithm

In remote areas, local generating plant based on renewable energy sources has been received a greater attention to meet the energy demand. Renewable energy sources (small hydro, solar, wind, biomass etc.) have the sufficient potential in India. Utilizing these sources in stand-alone mode is an appropriate choice for energy access in local areas. The present paper deals with the size optimization of a stand-alone PV/Wind/MHP/Biomass based hybrid energy system for un-electrified village hamlets of Indian state of Uttarakhand. Further, three renewable energy scenarios are considered under the present study. Finally, a simple and efficient Particle Swarm Optimization (PSO) algorithm has been used to optimize the total annual cost (TAC) for each scenario. Expected energy not supplied (EENS) is incorporated as a power reliability constraint while optimal sizing of the system components.