Multi-Objective Optimization Of Microgrid With The Intermittant Sources (T-0450) (MFN 8332)

Abstract

There are multiple renewable energy sources (REs) available due to the development of technology. In this research work hybrid renewable energy system (HRES) are used to get the optimally environmental and economic benefit for a grid-connected mode. The grid-connected mode system consists on the wind turbine generator (WT), diesel generator (DG), a small hydro power plant, photovoltaic (PV) generation, and vented lead-acid batteries. The optimal objective of model is to minimize the pollutants emission and total net present cost (TNPC) in life cycle; under the multi constraints of generation units and batteries, the uncertainties of clearness index, wind speed and load demand are mainly focused in this model. To analyse effect of intermittent source on optimization problem, best fit and force fit probability methods are used to generate the sequences transition probability matrix for random variables and results are compared with the results of deterministic approach optimization. The proposed study is carried out by the hybrid optimization model for electric renewables (HOMER) program. Simulation results clearly shows that the intermittent sources affect the values of random variables which results in change of the TNPC and Total Pollutant Emissions