ONLINE SOLVING OF ECONOMIC DISPATCH PROBLEM USING NEURAL NETWORK APPROACH AND COMPARING IT WITH CLASSICAL METHOD
Amir Mohammadi, Mohammad Hadi Varaham, Iraj Kheirzad · Journal of Engineering and Applied Sciences , University of Engineering and Technology, Peshawar · 2007
In this study, Iwo methods for solving economic dispatch problems, namely Hopfield neural network and λ iteration method are compared. Three sample of power system with 3, 6 and 20 units have been considered. The time required for CPU, for solving economic dispatch of these two systems has been calculated. It has been shown that for on-line economic dispatch, Hopfleld neural network is more efficient and the time required for convergence is considerably smaller compared to classical methods.