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Congestion Management using Genetic Algorithm in Deregulated Power Environments

by S.M.H Nabavi, A. Kazemi, M.A.S. Masoum
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 18 - Number 2
Year of Publication: 2011
Authors: S.M.H Nabavi, A. Kazemi, M.A.S. Masoum
10.5120/2257-2894

S.M.H Nabavi, A. Kazemi, M.A.S. Masoum . Congestion Management using Genetic Algorithm in Deregulated Power Environments. International Journal of Computer Applications. 18, 2 ( March 2011), 19-23. DOI=10.5120/2257-2894

@article{ 10.5120/2257-2894,
author = { S.M.H Nabavi, A. Kazemi, M.A.S. Masoum },
title = { Congestion Management using Genetic Algorithm in Deregulated Power Environments },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 18 },
number = { 2 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume18/number2/2257-2894/ },
doi = { 10.5120/2257-2894 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:49.710310+05:30
%A S.M.H Nabavi
%A A. Kazemi
%A M.A.S. Masoum
%T Congestion Management using Genetic Algorithm in Deregulated Power Environments
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 2
%P 19-23
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Congestion cost allocation is an important issue in congestion management. This paper presents a genetic algorithm (GA) to determine the optimal generation levels in a deregulated market. The main issue is congestion in lines, which limits transfer capability of a system with available generation capacity. Nodal pricing method is used to determine locational marginal price (LMP) of each generator at each bus. Simulation results based on the proposed GA and the Power World Simulator software is presented and compared for the IEEE 30-bus test system.

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Index Terms

Computer Science
Information Sciences

Keywords

Congestion management nodal pricing deregulated power systems Genetic algorithm optimal bidding strategy

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