Beta
ManageSearchChatDiscover
147357

Kohonen Neural Network Based Approach for Voltage Security Monitoring of Power Systems.

Article

Last updated: 22 Jan 2023

OverviewSimilar Items

Subjects

-

Tags

Electrical Engineering

Abstract

This paper utilizes the artificial neural network of Kohonen for monitoring voltage security of electric power systems. The Kohonen model is based on the self-organization feature mapping technique that transforms input patterns into neurons on the two dimensional grid. By using the power flow analysis and the minimum singular value method a Kohonen Neural Network (KNN) is trained to give the expected values of voltage stability index at each load bus as well as for the whole system special emphasis is placed on the selection of input information and analysis of the network output results. The generalization capability of the KNN under various operating conditions has been tested. Test results on IEEE 30-bus system show the effectiveness of the proposed approach for monitoring voltage security in power system.

DOI

10.21608/bfemu.2021.147357

Authors

First Name

Mohamed Ebraheem

Last Name

Ebraheem

MiddleName

El-Said

Affiliation

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

Email

-

City

Mansoura

Orcid

-

First Name

El-Hussieny

Last Name

Abd-Raboh Mohamed

MiddleName

El-Hussieny

Affiliation

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

Email

-

City

Mansoura

Orcid

-

Volume

24

Article Issue

2

Related Issue

21258

Issue Date

1999-06-01

Receive Date

1999-01-11

Publish Date

2021-06-01

Page Start

1

Page End

10

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 24_Issue 2_Pages 1-10.pdf

PDF . 222.4kB

Link

https://bfemu.journals.ekb.eg/article_147357.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=147357

Order

1

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