Automatic fault location on distribution network using voltage sags measurements

Haiyu Li; Ahmad S. Mokhar; Nick Jenkins

doi:10. 1049/cp:2005 1194

Automatic fault location on distribution network using voltage sags measurements

Haiyu Li, Ahmad S. Mokhar, Nick Jenkins

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a method that combines a power system analysis program, a database search method and a pattern recognition technique to identify a faulty section in a typical 11kV distribution network automatically. The method uses a three-phase unbalanced load flow and fault analysis program to analytically generate a voltage sag database for faults on all nodes in the distribution network. Database search and pattern recognition algorithms were developed to identify the faulty section when an actual fault occurs anywhere on the distribution network. The proposed method was evaluated and tested on the distribution network using EMTDC, a power system simulator.

Original language	English
Title of host publication	IEE Conference Publication\|IEE Conf Publ
Pages	477-480
Number of pages	3
Volume	3
DOIs	https://doi.org/10. 1049/cp:2005 1194
Publication status	Published - 2005
Event	Eighteenth International Conference and Exhibition on Electricity Distribution, CIRED 2005, Technical Reports - Session 1: Network Components - Turin Duration: 1 Jul 2005 → …

Conference

Conference	Eighteenth International Conference and Exhibition on Electricity Distribution, CIRED 2005, Technical Reports - Session 1: Network Components
City	Turin
Period	1/07/05 → …

Access to Document

10. 1049/cp:2005 1194

Cite this

@inproceedings{a63bf65e4b28438c8ac450dd05e2d836,

title = "Automatic fault location on distribution network using voltage sags measurements",

abstract = "This paper presents a method that combines a power system analysis program, a database search method and a pattern recognition technique to identify a faulty section in a typical 11kV distribution network automatically. The method uses a three-phase unbalanced load flow and fault analysis program to analytically generate a voltage sag database for faults on all nodes in the distribution network. Database search and pattern recognition algorithms were developed to identify the faulty section when an actual fault occurs anywhere on the distribution network. The proposed method was evaluated and tested on the distribution network using EMTDC, a power system simulator.",

author = "Haiyu Li and Mokhar, {Ahmad S.} and Nick Jenkins",

year = "2005",

doi = "10. 1049/cp:2005 1194",

language = "English",

volume = "3",

pages = "477--480",

booktitle = "IEE Conference Publication|IEE Conf Publ",

note = "Eighteenth International Conference and Exhibition on Electricity Distribution, CIRED 2005, Technical Reports - Session 1: Network Components ; Conference date: 01-07-2005",

}

Li, H, Mokhar, AS & Jenkins, N 2005, Automatic fault location on distribution network using voltage sags measurements. in IEE Conference Publication|IEE Conf Publ. vol. 3, pp. 477-480, Eighteenth International Conference and Exhibition on Electricity Distribution, CIRED 2005, Technical Reports - Session 1: Network Components, Turin, 1/07/05. https://doi.org/10. 1049/cp:2005 1194

TY - GEN

T1 - Automatic fault location on distribution network using voltage sags measurements

AU - Li, Haiyu

AU - Mokhar, Ahmad S.

AU - Jenkins, Nick

PY - 2005

Y1 - 2005

N2 - This paper presents a method that combines a power system analysis program, a database search method and a pattern recognition technique to identify a faulty section in a typical 11kV distribution network automatically. The method uses a three-phase unbalanced load flow and fault analysis program to analytically generate a voltage sag database for faults on all nodes in the distribution network. Database search and pattern recognition algorithms were developed to identify the faulty section when an actual fault occurs anywhere on the distribution network. The proposed method was evaluated and tested on the distribution network using EMTDC, a power system simulator.

AB - This paper presents a method that combines a power system analysis program, a database search method and a pattern recognition technique to identify a faulty section in a typical 11kV distribution network automatically. The method uses a three-phase unbalanced load flow and fault analysis program to analytically generate a voltage sag database for faults on all nodes in the distribution network. Database search and pattern recognition algorithms were developed to identify the faulty section when an actual fault occurs anywhere on the distribution network. The proposed method was evaluated and tested on the distribution network using EMTDC, a power system simulator.

U2 - 10. 1049/cp:2005 1194

DO - 10. 1049/cp:2005 1194

M3 - Conference contribution

VL - 3

SP - 477

EP - 480

BT - IEE Conference Publication|IEE Conf Publ

T2 - Eighteenth International Conference and Exhibition on Electricity Distribution, CIRED 2005, Technical Reports - Session 1: Network Components

Y2 - 1 July 2005

ER -

Automatic fault location on distribution network using voltage sags measurements

Abstract

Conference

Access to Document

Fingerprint

Cite this