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Optimal Power Flow for a Power System under Particle Swarm Optimization (PSO) based

by Vian Hasan Ahgajan, Firas Mohammed Tuaimah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 33
Year of Publication: 2020
Authors: Vian Hasan Ahgajan, Firas Mohammed Tuaimah
10.5120/ijca2020919757

Vian Hasan Ahgajan, Firas Mohammed Tuaimah . Optimal Power Flow for a Power System under Particle Swarm Optimization (PSO) based. International Journal of Computer Applications. 177, 33 ( Jan 2020), 56-62. DOI=10.5120/ijca2020919757

@article{ 10.5120/ijca2020919757,
author = { Vian Hasan Ahgajan, Firas Mohammed Tuaimah },
title = { Optimal Power Flow for a Power System under Particle Swarm Optimization (PSO) based },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2020 },
volume = { 177 },
number = { 33 },
month = { Jan },
year = { 2020 },
issn = { 0975-8887 },
pages = { 56-62 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number33/31125-2020919757/ },
doi = { 10.5120/ijca2020919757 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:47:38.735161+05:30
%A Vian Hasan Ahgajan
%A Firas Mohammed Tuaimah
%T Optimal Power Flow for a Power System under Particle Swarm Optimization (PSO) based
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 33
%P 56-62
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optimal power flow (OPF) is one of the most vital tool for power system operation analysis, which require complex mathematical formulation to find best solution .particle swarm optimization is one among many methods for solving nonlinear optimization problems and it one of the swarm intelligences. Optimal power flow is one of nonlinear constrained and occasionally combinatorial optimization problems of power system the objective of an optimal power flow is to find steady state operation point which minimizes generation cost, loss, load ability. The OPF solution includes an objective function. A common objective function concerns the active power generation cost. A particle swarm optimization (PSO) is proposed to solve OPF problem. After solving OPF problem the results of PSO would be compered by using many methods such as linear programming, genetic algorithm .The proposed PSO is verified by IEEE-30 in all case studies PSO shown to achieve a lower cost and losses than it when there is line outage and generator outage. Conventional load flow is used to perform the equality constraints. A computer program, written in MATLAB environment, is developed to represent the proposed method.

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Index Terms

Computer Science
Information Sciences

Keywords

Optimal power flow particle swarm optimization economic dispatch

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