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30462

A new Optimal Power Flow Algorithms using Particle Swarm Optimization by Matlab. Program

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Last updated: 22 Jan 2023

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Abstract

This paper study, Particle Swarm Optimization for the solution of the optimal power flow (OPF) is studied. Traditionally, classical optimization methods were used to effectively solve OPF. But more recently due to incorporation of Flexible A.C.
Transmission System (FACTS) devices and deregulation of a power sector, the traditional concepts and practices of power systems are superimposed by an economic market management. So OPF have become complex. (FACTS) family using power electronics to control power flow and improve transient stability on power grids [1]. In recent years, Artificial Intelligence methods (GA etc) have emerged which can solve highly complex OPF problems. 30-bus system has been studied to show the effectiveness of the algorithm.

DOI

10.21608/iceeng.2014.30462

Keywords

particle swarm optimization (PSO), Flexible A.C. Transmission System (FACTS), Optimal Power Flow (OPF)

Authors

First Name

M.

Last Name

Fahmy

MiddleName

Sherif M.

Affiliation

Egyptian Armed Forces.

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Volume

9

Article Issue

9th International Conference on Electrical Engineering ICEENG 2014

Related Issue

5254

Issue Date

2014-05-01

Receive Date

2019-04-21

Publish Date

2014-05-01

Page Start

1

Page End

10

Print ISSN

2636-4433

Online ISSN

2636-4441

Link

https://iceeng.journals.ekb.eg/article_30462.html

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https://iceeng.journals.ekb.eg/service?article_code=30462

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50

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Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

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Article

Created At

22 Jan 2023