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  3. Online solving of economic dispatch problem using neural network approach and comparing it with classical method
Online solving of economic dispatch problem using neural network approach and comparing it with classical method
441 viewed

Online solving of economic dispatch problem using neural network approach and comparing it with classical method

Mohammadi, A

Online solving of economic dispatch problem using neural network approach and comparing it with classical method

Mohammadi, A ; Sharif University of Technology | 2006

441 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/ICET.2006.335922
  3. Publisher: 2006
  4. Abstract:
  5. In this study, two 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, 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 ; Electric power systems ; Evolutionary algorithms ; Hopfield neural networks ; Image classification ; Iterative methods ; Classical methods ; Convergence (mathematics) ; Economic dispatch (ED) ; Economic dispatch (ED) problems ; Hopfield ; International conferences ; Power systems ; Neural networks
  8. Source: 2nd Annual International Conference on Emerging Techonologies 2006, ICET 2006, Peshawar, 13 November 2006 through 14 November 2006 ; 2006 , Pages 581-586 ; 1424405033 (ISBN); 9781424405039 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4136890