Modeling and Optimization of Integrated Renewable Energy System for an un-electrified remote area

The effective utilization of alternative sources of energy are likely to linked with supply of electrical power to the selected area of consumers in standalone mode. Renewable sources of energy support the high reliability through offering on-site production. Consequently, it results in hybrid scheme that comes under continued existence like SPV panels, micro wind turbine, Biogas energy, Biomass energy, and Small hydro systems. Notably, an integrated renewable energy system (IRES) is highly efficient in relative comparison to grid extension which is far expensive. IRES model is largely based on location and load demand summary where it also considers the accessibility of potential renewable energy sources (RES). This paper demonstrates the modeling and the size optimization of solar, wind, SHP, bio-mass, and bio-gas energy systems for un-electrified remote area in Gujarat. In this sense, seven un-electrified clusters of villages in Limkheda taluka and Dahod district in Gujarat state have been selected as study area. In proposed framework, five renewable energy scenarios are measured. The main objective functions are to find out Total Net Present Cost (TNPC) and Costs of Energy (COE) of proposed structure using Particle Swarm Optimization (PSO) algorithm for every scenario. Estimated energy not fulfilled (EENF) is integrated as a power consistency constraint even as best possible sizing of the structure apparatus.