Short Term Load Forecasting using Fuzzy Logic Control

摘要

Load forecasting has proved a track of records to satisfy the upcoming load demands in power system. This paper describes a fuzzy prediction model based on Fuzzy Logic Control (FLC) that add the advantage of the technique to increase the accuracy of electrical load forecasting. Accurate Short Term Load Forecast has prime importance for the safe and efficient working of power systems. Artificial Neural Networks (ANN) are widely employed in this domain due to its nonlinear mapping nature. The fuzzy logic structure optimization requires proper membership functions, selection of the most suitable input parameters for Short term load forecasting. This paper gives a simulation output using fuzzy logic for various efficiencies with three generators working with different loads.