Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu

This paper presents an economic dispatch prediction of electrical power system by using artificial neural networks (ANN). The objective of economic dispatch for generating units at different loads is to have total fuel cost at the minimum point. There are several methods which known as conventional methods that can be used to solve economic dispatch problem such as Lambda (X) iteration method, Lagrange multiplier method and Newton Raphson method. However, the load variation is an obstacle in optimal dispatch of conventional methods. The proposed method has been tested on a three units system and the results are compared with the results obtained from Lambda iteration method.