Application of Artificial Neural Networks for Hourly Load Forecasting in Distribution Systems
Department of Electrical Engineering, Shri Labhubhai Trivedi Institute of Engineering & Technology Kankot Kalawad Road Rajkot,Gujarat,India, India
ABSTRACT
Today's electricity power industry is in the process of up-gradation and modernization. The power system operation has become more competitive in the open market environment. The accuracy of load forecasting is important because it has a direct influence on the planning of the operation schedule of power generation plants. A major part of the operating cost of power generation units depends on the amount of electricity production. To minimize the total operation cost, unit commitment scheduling is used to determine the optimal commitment schedule of power generation units to satisfy the forecasted demand. Load forecasting is an important requirement for unit commitment planning. Hour-ahead load forecasting is necessary for optimally controlling the online resources to supply the next hour load. The objective of this study is to prove the application of Artificial Neural Networks for performing hourly load forecasting in distribution systems. The forecasting results indicate that ANN based load forecasting systems can be used for load forecasting in distribution systems with a good accuracy.
