Optimal Generation Sizing for Jharkhand Remote Rural Area by Employing Integrated Renewable Energy Models Opting Energy Management

Abstract

With concern of environment and less availability of conventional energy sources, renewable energy has grabbed more attention for future source of energy due to its abundant availability. Effective utilization of available renewable energy sources is necessary to fulfill the increasing demand for electricity. Now-a-days Distributed Renewable Energy Sources installed over consumer premises is more advantages than a large aggregated system, which overcome the problems of locational and temporal characteristics of renewable energy. Benefits of Distributed Renewable Energy Systems enlighten the Integrated Renewable Energy Model (IREM) with battery backup to full fill the rural and faraway area’s Electrification. Assuming the present scenario, with advancement in technologies Medium Cost High Ratings (MCHR) appliance used as all possible loads. In this paper, one of the concepts are highlighted that can be adapted to full fill the power demand. For which Energy management concept is used to increase the effective utilization of renewable energy sources and optimal sizing is verified and compared by two well-enhanced techniques: particle swarm optimization (PSO) and Jaya algorithm. Objective function of this optimization is Cost parameters involving Total Overall Net Cost (TONC) of generation and Cost of Energy (CE).KeywordsOptimal sizing, rural electrification, TONC, energy management, cost of energyJaya algorithm, PSO