Using Neural Network for Solving of On-Line Economic Dispatch Problem

  • Authors:

  • Amir Mohammadi;Mohammad Hadi Varahram

  • Affiliations:

  • Islamic Azad University, Iran;Sharif University of Technology, Iran

  • Venue:
  • CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this study, two methods for solving economic dispatch problems, namely Hopfield neural network and ë 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.