Estimation of the Electricity to be Generated at Different Wind Speeds and Turbines through Fuzzy Logic and ANN, A Case Study of Balıkesir

Abstract

One of the most significant factors determining the development level of the world’s countries in the economic domain is energy. As the technology makes progress, the need of the countries for energy continuously increases in parallel with that. Meeting such increasing energy demand with fossil fuels for many years has damaged the living standards of all living beings. Both of these two circumstances have caused an increase in demand for Renewable Energy Resources (RER), with wind power being one of them. In the present study, monthly wind speed, temperature, and pressure measurement data obtained from the Wind Power Plant (WPP) located in the Gonen District of the Balikesir Province was averaged out. Using this data and the output data of electricity amounts from different turbine types, an electric power production estimation model was formed through the artificial neural network (ANN) and fuzzy logic (FL) methods. It was intended to determine the electric power required to be generated by the model formed through ANN and FL. When the estimations obtained by the ANN and FL were compared, it was observed that the results were correct and coherent.