GEOGRAPHICAL DATA BASED OPTIMIZATION OF HYBRID SOLAR PV-WIND RESOURCES CONNECTED IN AN INSTITUTIONAL MICRO GRID SYSTEM USING MULTI-OBJECTIVE FITNESS FUNCTION

摘要

T The utilization of electrical energy for the development of a nation relies majorly on the fossil fuel based conventional sources of energy. The fast depletion of these sources, adverse impact of environmental pollution and higher cost of transportation motivated much awareness towards the deployment of alternative energy sources. Solar Photovoltaic (SPV) and Wind energy are the major renewable sources of energy at the forefront of distributed power generating system. In most of the cases, hybridization of these two sources makes the system cost effective and reliable ensures reliable operation. Utilization of hybrid wind/solar PV energy sources attracts many of the consumers to generate power on a large scale. The general limitation of solar PV/Wind energy system is their inherently intermittent and the power output variations may not be able to match with the time distribution of load demand. Independent or un-optimized use of these resources may result in over sizing of the system which in turn makes the complete system costly. Selection of optimal sizing of wind/PV combination could help to endorse the lowest investment with adequate and full utilization of solar and wind energy, so that the hybrid system operates at optimal working conditions and provides enhanced system reliability.