OPTIMUM DESIGN OF INTEGRATED RENEWABLE ENERGY SYSTEM FOR VILLAGES

Abstract

The utilization of abundant and fluctuating renewable energy sources is increasing world-wide. The main concern is integration of these resources into the energy systems. Renewable energy is excellent solution for power generation particularly in rural where grid is infeasible. Energy planning exercise for rural areas make use of a mix of locally available renewable resources with some commercial resources to cater the energy needs of the population. To meet the basic needs for the reliable supply of electricity 24 hours in cost effective manner in a rural area, decentralized renewable energy system has been considered. Energy is supplied in the form of electricity, heat or fuels and an energy supply system must guarantee sustainable energy supplies, production and distribution of energy. Such system based on renewable energy can be utilized as integrated renewable energy system (IRES), which can satisfy the energy needs of an area in appropriate and sustainable manner. The wide variety of renewable energy resources and their highly site-specific and variable nature, coupled with different types and qualities of energy needs, pose a challenging problem to design the Integrated Renewable Energy Systems (IRES),IRES incorporate a combination of one or more several sources such as solar PV. wind, biogas, biomass gasifier and battery bank, bio-diesel, methanol engine as a back-up power sources. - In the present study, a rural area of Rajasthan state has been considered for development of integrated renewable energy system potential assessment, size and the cost • estimation of their system have been carried out to meet the energy demand of the considered area. The different procedure and methodologies are used to design integrated renewable energy system. This include the selection of different system component. sizing and development of a general models to find out optimal combination of energy subsystems for the selected study area in order to minimize the cost of energy generation for required reliability values, PSO algorithm has been applied to optimize the system. This optimization implemented to cost of the energy, total cost of the system and CO2 emission reduction. This procedure includes resource-demand matching based on economics, the quality of energy needed. and the characteristics of the resource. The design of optimal energy resources are integrated to minimize the cost of energy and annual total cost of the system at the predeflned reliability. In this study, a series of different optimization technique, models, method and combination are reviewed and subsequently applied to an integrated renewable energy system