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Using Neural Network for Solving of On-Line Economic Dispatch Problem
Sydney Australia November 28-December 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.228International Conference on Computati ...
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Amir Mohammadi, Mohammad Hadi Varahram, "Using Neural Network for Solving of On-Line Economic Dispatch Problem," Computational Intelligence for Modelling, Control and Automation, International Conference on, 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.
 
 
BibTex
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@article{ 10.1109/CIMCA.2006.228,
author = {Amir Mohammadi and Mohammad Hadi Varahram},
title = {Using Neural Network for Solving of On-Line Economic Dispatch Problem},
journal ={Computational Intelligence for Modelling, Control and Automation, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2731-0},
pages = {87},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.228},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computational Intelligence for Modelling, Control and Automation, International Conference on
TI - Using Neural Network for Solving of On-Line Economic Dispatch Problem
SN - 0-7695-2731-0
SP
EP
A1 - Amir Mohammadi,
A1 - Mohammad Hadi Varahram,
PY - 2006
KW - null
VL - 0
JA - Computational Intelligence for Modelling, Control and Automation, International Conference on
ER -
 
Amir Mohammadi, Islamic Azad University, Iran
Mohammad Hadi Varahram, Sharif University of Technology, Iran
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
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