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114885

INCOMING AND OUTGOING CT READINGS BASED AI TECHNIQUES FOR BUS BAR DIFFERENTIAL PROTECTION FAULTS ANALYSIS

Article

Last updated: 26 Dec 2024

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Subjects

-

Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

The application of artificial intelligent approaches was introduced recently in protection of distribution networks. In this paper, the application of Adaptive Neuron Fuzzy Inference System (ANFIS) as well as artificial Neural Network (ANN) for protection of bus bars will be illustrated. The objective of this paper is firstly, to detect the fault occurrence on bus bar, secondly location of the fault. The fault detection and location are firstly trained using ANN and ANFIS techniques and then they are tested in diversity of system conditions with respect to the fault types, inception instant, resistance and pre fault conditions. The fault detection and location units used current magnitude difference change at fault and Pre-fault conditions for incoming and outgoing CTs. The fault location unit in this paper is to detect if the fault occurs internally on the bus bar or externally. The protection system selection depends on the time as the system should take the correct action at fault condition, sending correct tripping signal for internal fault conditions and prevent the mal-operation due to external fault conditions. On other hand, the fault clearing time is very important issue to avoid more damage to power system equipments. From the simulation, it is found that the proposed system success to detect the fault and clarify the fault location at different fault cases within a short detection time than obtained in the previous work.

DOI

10.21608/jesaun.2013.114885

Keywords

busbar prptection, AI techniques, current transformers

Authors

First Name

M. Mahmoud

Last Name

Ismail

MiddleName

-

Affiliation

Electrical Power and Machine Department, Faculty of Engineering Helwan University

Email

m_m_ismail@yahoo.com

City

-

Orcid

-

First Name

M. A. Moustafa

Last Name

Hassan

MiddleName

-

Affiliation

Electrical Power and Machine Depart. Faculty of Engineering Helwan University

Email

-

City

-

Orcid

-

Volume

41

Article Issue

No 4

Related Issue

16867

Issue Date

2013-07-01

Receive Date

2013-03-09

Publish Date

2013-07-01

Page Start

1,595

Page End

1,611

Print ISSN

1687-0530

Online ISSN

2356-8550

Article File

JESAUN_Volume 41_Issue No 4_Pages 1595-1611.pdf

PDF . 413.6kB

Link

https://jesaun.journals.ekb.eg/article_114885.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=114885

Order

15

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

INCOMING AND OUTGOING CT READINGS BASED AI TECHNIQUES FOR BUS BAR DIFFERENTIAL PROTECTION FAULTS ANALYSIS

Details

Type

Article

Created At

23 Jan 2023