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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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