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

Author

Mohammadi, Amir ; Varahram, Mohammad Hadi

Author_Institution

Sci. & Res. Branch, Islamic Azad Univ., Tehran

fYear

2006

fDate

Nov. 28 2006-Dec. 1 2006

Firstpage

87

Lastpage

87

Abstract

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

Keywords

Hopfield neural nets; power engineering computing; power generation dispatch; power generation economics; Hopfield neural network; iteration method; neural network; online economic dispatch problem; Cost function; Fuel economy; Hopfield neural networks; Neural networks; Neurons; Power generation; Power generation economics; Power system economics; Power systems; Propagation losses;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

0-7695-2731-0

Type

conf

DOI

10.1109/CIMCA.2006.228

Filename

4052725