Abstracto

Integration of Renewable Energy Sources Using Artificial Intelligent System

Harsh, Dr. Sunil Kumar Singal

Economic and geopolitical limitation on global non-renewable energy supplies will force many nations, especially the developing countries, to accelerate their use of local renewable energy sources. The study reveals the research referring to the optimal configuration and Intelligent Control of Hybrid System. The system uses Renewable Energy i.e. Photovoltaic Cells, Biomass, Wind Energy, Small Hydro Power, etc. in association with the National Grid System and Diesel Generators. These independent renewable energy systems have become much popular due to increase in the cost of conventional sources of energy and reduction in the prices of Solar PV panels, wind turbines and Biomass system. This study presents a system in which a common junction is formed with different sources of energy in order to attain most economical output having the least operating cost. Artificial Intelligent System is basically used as an intelligent control managing system for optimizing the integrated system that prioritizes the sources in the order they should be connected to the load. The control system reads the load voltage and frequency and determines an error depending on how high or low is the voltage and frequency. Finally on the basis of the droop characteristics, the error is then processed by the fuzzy system to give an output that is used to determine which sources need to be connected to the load. The outcome of the proposed technique validates that the developed system would be dexterous mechanism yielding an economical solution on one hand and increase in renewable energy contribution on the other.