Intelligent Management of Alternative Energy Sources Based on Fuzzy Logic

Abstract

This paper aims to evaluate the use of Soft Computing techniques, specifically Fuzzy Logic for the development of a management system for alternative energy sources such as wind, photovoltaic and fuel cell. The basis of a hybrid generation system checks its response availability, reliability and power supply taking into account the environmental conditions and power consumption. It realizes a comparison of several kinds of supply management in different case studies. Results show which proposed approach reaches a greater use of energy available from such generation systems. Furthermore, it shows the design of a Fuzzy Logic-based manager (FLM), able to select, according to different criteria, which one electrical source and in what proportion, is more suitable to satisfy power consumption. Alternative energy sources models are implemented. Experimental testing is performed to the consumption data base.