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98136

Direct Power Control of PV-Grid Connected Using Artificial Neural Network.

Article

Last updated: 22 Jan 2023

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Tags

Electrical Engineering

Abstract

In this research, an artificial neural network (ANN) controller design for connecting photovoltaic (PV) power system to the grid is introduced. The proposed controller is trained over a wide range of operating conditions. Time domain simulations of a grid-tied three-phase inverter by an active power injection subjected to major disturbance is investigated. To improve the superiority of the proposed controller, the performances of the developed ANN is compared with a conventional PI controller. The simulated results prove the capability of the proposed ANN controller to enhance the PV system performance over a wide range of operating conditions. 

DOI

10.21608/bfemu.2020.98136

Keywords

Photovoltaic System, grid connected inverter, Neural network, power flow control, Robust Control

Authors

First Name

Ali

Last Name

Yousef

MiddleName

Mohamed

Affiliation

Electrical Eng. Dept., Faculty of Engineering, Assiut University, Assiut, Egypt

Email

-

City

-

Orcid

-

First Name

Hamed

Last Name

Ibrahim

MiddleName

-

Affiliation

Elect. Dept., Faculty of Industrial Education, Suez University, Egypt.

Email

-

City

-

Orcid

-

First Name

Farag

Last Name

Abo-elyousr

MiddleName

Kamel

Affiliation

Electrical Eng. Dept., Faculty of Engineering, Assiut University, Assiut, Egypt

Email

-

City

-

Orcid

-

First Name

Moayed

Last Name

Mohamed

MiddleName

-

Affiliation

Elect. Dept., Faculty of Industrial Education, Suez University, Egypt - Elect Dept., Faculty of Industrial Education, Sohag University, Egypt

Email

moayedm1990@gmail.com

City

-

Orcid

-

Volume

42

Article Issue

3

Related Issue

14853

Issue Date

2017-09-01

Receive Date

2017-11-22

Publish Date

2020-06-25

Page Start

1

Page End

8

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 42_Issue 3_Pages 1-8.pdf

PDF . 1.4MB

Link

https://bfemu.journals.ekb.eg/article_98136.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=98136

Order

9

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