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123646

Applying PSO Technique for Optimum Siting and Sizing of DG in Distribution Systems.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Electrical Engineering

Abstract

The integration of distributed generation (DG) with the distribution networks is a challenging task. The size and site of the DG will have an effect on the voltages and operations of the distribution networks in the future. The advantages that DG brings to the system can be best utilized if these resources have beeo properly allocated in the system. This paper presents a new methodology to find the optimal size and location of the DG to improve the voltage stability of the system using Particle Swarm Optimization (PSO) technique. Validation of the methodology is done using the IEEE 13 node distribution feeder. The results obtained from the power flow analysis and the optimization of size and location are presented. 

DOI

10.21608/bfemu.2020.123646

Keywords

Distributed generation, Particle Swarm Optimization, Distribution networks

Authors

First Name

I.

Last Name

Mansy

MiddleName

I.

Affiliation

Electrical Power Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

A.

Last Name

Abdrabu

MiddleName

-

Affiliation

Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

M.

Last Name

Salem

MiddleName

E.

Affiliation

Electrical Power Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

A.

Last Name

Rasheed

MiddleName

-

Affiliation

Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

Volume

35

Article Issue

1

Related Issue

17860

Issue Date

2010-03-01

Receive Date

2010-01-11

Publish Date

2020-11-17

Page Start

105

Page End

116

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 35_Issue 1_Pages 105-116.pdf

PDF . 769.3kB

Link

https://bfemu.journals.ekb.eg/article_123646.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=123646

Order

14

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023