Loading...

Using neural network for solving of on-line economic dispatch problem

Mohammadi, A ; Sharif University of Technology | 2006

336 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/CIMCA.2006.228
  3. Publisher: IEEE Computer Society , 2006
  4. Abstract:
  5. In this study, two methods for solving economic dispatch problems, namely Hopfield neural network and X 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. © 2006 IEEE
  6. Keywords:
  7. Convergence of numerical methods ; Economic analysis ; Iterative methods ; Online systems ; Problem solving ; Classical methods ; Economic dispatch problem ; Hopfield neural networks
  8. Source: CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce, Sydney, NSW, 28 November 2006 through 1 December 2006 ; 2006 , Pages 87- ; 0769527310 (ISBN); 9780769527314 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4052725