Beta
ManageSearchChatDiscover
146311

An Improved Particle Swarm Optimization Algorithm for Maximum Power Point Tracking of Photovoltaic Cells in Normal and under Partial Shading Conditions.

Article

Last updated: 22 Jan 2023

OverviewSimilar Items

Subjects

-

Tags

Computer Engineering and Systems

Abstract

Because of the world's acute energy crisis, the need for renewable energy sources is increasing today. In recent years, Standalone photovoltaic systems have been widely used in remote regions, following the growth of the photovoltaic cell industry. The key features of the systems of photovoltaic (PV) used to ingather solar energy while reducing the gas emissions of the greenhouse, maintenance costs are low, reduced site-related restrictions as a mechanical noise reduction due to no moving parts. Nevertheless, Photovoltaic systems are suffering from comparatively poor conversion efficiency. Hence, a PV system needs maximum power point tracking (MPPT) of the solar array. Several factors affect the maximum resulted power as nonlinear behavior of PV systems, temperature and the level of solar radiation that complicate monitoring of the maximum power point (MPP). This paper represents an evolutionary optimization algorithm using improved particle swarm optimization (PSO) technique for MPPT. The proposed technique has achieved high power in the conditions of partial shading rather than the conventional (PSO). The results of the simulation showed that the strategy could be reliable in monitoring the global MPPT in PV systems.

DOI

10.21608/bfemu.2021.146311

Keywords

Maximum Power Point Tracking, Photovoltaic cell, Particle Swarm Optimization, Partial shading

Authors

First Name

Hend

Last Name

Saad

MiddleName

Samir

Affiliation

Computer Engineering and Control Systems Department., Faculty of Engineering., eL-Mansoura University., Mansoura., Egypt.

Email

hend.samir1@gmail.com

City

Mansoura

Orcid

-

First Name

Mohamed

Last Name

ElKsas

MiddleName

Shreif

Affiliation

Computers Engineering and Control Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

msmksasy@gmail.com

City

Mansoura

Orcid

-

First Name

Sabry

Last Name

Saraya

MiddleName

Fouad

Affiliation

Computers Engineering and Control Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt

Email

drsfsaraya@mans.edu.eg

City

Mansoura

Orcid

-

First Name

Mohamed

Last Name

Abdelsalam

MiddleName

Moawad

Affiliation

Computers Engineering and Control Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

mohmoawed@yahoo.com

City

Mansoura

Orcid

-

Volume

46

Article Issue

1

Related Issue

20965

Issue Date

2021-03-01

Receive Date

2020-10-01

Publish Date

2021-02-04

Page Start

10

Page End

20

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 46_Issue 1_Pages 10-20.pdf

PDF . 1.6MB

Link

https://bfemu.journals.ekb.eg/article_146311.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=146311

Order

24

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