Beta
ManageSearchChatDiscover
129604

Optimal Operation for a Faulted PV System Using Genetic Algorithm.

Article

Last updated: 22 Jan 2023

OverviewSimilar Items

Subjects

-

Tags

Electrical Engineering

Abstract

 The need to optimize the operation of PV systems is justified by the fact that PV systems are expensive to build, fuel- free source, and it is therefore natural that user of sulci systems would want them to perform it their most optimal point. Under the faulted condition, the power curve has a multi-picture; conventional optimization techniques can easily fall down in local optimal and initial point problems. Genetic algorithm as a global optimization technique is adopted to optimize photovoltaic power system under different faulted conditions. The proposed PV system and GA scheme is tested for the three-array PV system under different faulted conditions and the simulation results shown in the paper. It is shown from the results that the genetic algorithm captured the exact optimization point accurately. 

DOI

10.21608/bfemu.2020.129604

Authors

First Name

Sahar Sidky

Last Name

Kaddah

MiddleName

El-Hifney

Affiliation

Electrical Engineering Department., Faculty of Engineering., El-Mansoura Unin=versity., Mansora., Egypt

Email

-

City

Mansoura

Orcid

-

Volume

31

Article Issue

2

Related Issue

19223

Issue Date

2006-06-01

Receive Date

2006-02-11

Publish Date

2020-12-14

Page Start

1

Page End

6

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 31_Issue 2_Pages 1-6.pdf

PDF . 210.8kB

Link

https://bfemu.journals.ekb.eg/article_129604.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=129604

Order

5

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