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69383

OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM

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Last updated: 25 Dec 2024

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Abstract

This paper presents a proposed optimization procedure (POP) to find the optimal sitting and sizing
of capacitor banks in order to reduce the power and energy losses, increase the available capacity
of the feeders and improve the feeder voltage profile. This technique uses the voltage regulation
index (VRI) and loading performance index (LPJ) to find the optimal placement of capacitor banks
in the radial distribution systems (RDS). The multi-objective Genetic algorithm (MOGA) is used
as an optimization technique to achieve the multi-nonlinear inflected objective functions for
optimal sitting and sizing of capacitor banks problem. These objective functions are: minimizing
the cost of power losses, minimizing the cost of energy losses, minimizing of voltage deviation,
minimizing the cost of capacitor banks and maximizing ofthe feeder power factor. These objective
functions are achieved simultaneously, while many radial distribution system constraints are
satisfied. Actual power distribution systems, as apart of Egyptian distribution network, are used to
show the capability of the proposed technique to improve the feeder performance through
optimally sitting and sizing of capacitor banks.

DOI

10.21608/erjm.2009.69383

Keywords

Optimal placement of capacitor banks — performance indices — Multi-objective, functions — Genetic Algorithms — Radial distribution systems

Authors

First Name

Adel

Last Name

A. Abou El-Ela

MiddleName

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Affiliation

Faculty of Engineering,Minoufiya University

Email

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City

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Orcid

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First Name

Gamal

Last Name

E. M. Aly

MiddleName

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Affiliation

Faculty of Engineering,Tanta University

Email

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City

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First Name

Abeer

Last Name

A. E. Shammali

MiddleName

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Affiliation

South Delta Electricity Distribution Company SDEDC

Email

-

City

-

Orcid

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Volume

32

Article Issue

1

Related Issue

10532

Issue Date

2009-01-01

Receive Date

2020-01-29

Publish Date

2009-01-01

Page Start

1

Page End

10

Print ISSN

1110-1180

Online ISSN

3009-6944

Link

https://erjm.journals.ekb.eg/article_69383.html

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https://erjm.journals.ekb.eg/service?article_code=69383

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Original Article

Type Code

1,118

Publication Type

Journal

Publication Title

ERJ. Engineering Research Journal

Publication Link

https://erjm.journals.ekb.eg/

MainTitle

OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM

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Article

Created At

22 Jan 2023