International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)
Using Neural Network for Solving of On-Line Economic Dispatch Problem
Sydney Australia
November 28-December 01
ISBN: 0-7695-2731-0
In this study, two methods for solving economic dispatch problems, namely Hopfield neural network and ? 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, Hopfield neural network is more efficient and the time required for convergence is considerably smaller compared to classical methods.
Citation:
Amir Mohammadi, Mohammad Hadi Varahram, "Using Neural Network for Solving of On-Line Economic Dispatch Problem," cimca, pp.87, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006
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