Graphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation function

Zaipatimah Ali, Swee Ang Peng, Md Norfauzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a new algorithm of identifying the different modes of ferroresonance (FR) using voltage signals. The voltage signals are simulated from a ferroresonance model that represents a voltage transformer energized through a grading capacitance of opened circuit breakers. Different modes of ferroresonance voltage signals were obtained by simulating various value of grading capacitance, system voltage and interrupting time. The mode's identification is automatically determined by correlating the sustained period of different ferroresonance mode signal and the sustained period of tested voltage signal. Detecting the types of ferroresonant modes plays an important role as a pre-testing tool or diagnostic tool to identify the range of parameters that would lead to the fundamental frequency ferroresonance phenomenon. The simulation is carried out by using Matlab.

Original languageEnglish
Title of host publicationTENCON 2015 - 2015 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479986415
DOIs
Publication statusPublished - 05 Jan 2016
Event35th IEEE Region 10 Conference, TENCON 2015 - Macau, Macao
Duration: 01 Nov 201504 Nov 2015

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2016-January
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other35th IEEE Region 10 Conference, TENCON 2015
CountryMacao
CityMacau
Period01/11/1504/11/15

Fingerprint

Capacitance
Electric potential
Electric circuit breakers
Testing

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Ali, Z., Peng, S. A., & Norfauzi, M. (2016). Graphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation function. In TENCON 2015 - 2015 IEEE Region 10 Conference [7373195] (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2016-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2015.7373195
Ali, Zaipatimah ; Peng, Swee Ang ; Norfauzi, Md. / Graphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation function. TENCON 2015 - 2015 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., 2016. (IEEE Region 10 Annual International Conference, Proceedings/TENCON).
@inproceedings{9795ab37c51d41b7897d33381468c0a2,
title = "Graphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation function",
abstract = "This paper presents a new algorithm of identifying the different modes of ferroresonance (FR) using voltage signals. The voltage signals are simulated from a ferroresonance model that represents a voltage transformer energized through a grading capacitance of opened circuit breakers. Different modes of ferroresonance voltage signals were obtained by simulating various value of grading capacitance, system voltage and interrupting time. The mode's identification is automatically determined by correlating the sustained period of different ferroresonance mode signal and the sustained period of tested voltage signal. Detecting the types of ferroresonant modes plays an important role as a pre-testing tool or diagnostic tool to identify the range of parameters that would lead to the fundamental frequency ferroresonance phenomenon. The simulation is carried out by using Matlab.",
author = "Zaipatimah Ali and Peng, {Swee Ang} and Md Norfauzi",
year = "2016",
month = "1",
day = "5",
doi = "10.1109/TENCON.2015.7373195",
language = "English",
series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "TENCON 2015 - 2015 IEEE Region 10 Conference",
address = "United States",

}

Ali, Z, Peng, SA & Norfauzi, M 2016, Graphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation function. in TENCON 2015 - 2015 IEEE Region 10 Conference., 7373195, IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2016-January, Institute of Electrical and Electronics Engineers Inc., 35th IEEE Region 10 Conference, TENCON 2015, Macau, Macao, 01/11/15. https://doi.org/10.1109/TENCON.2015.7373195

Graphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation function. / Ali, Zaipatimah; Peng, Swee Ang; Norfauzi, Md.

TENCON 2015 - 2015 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., 2016. 7373195 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2016-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Graphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation function

AU - Ali, Zaipatimah

AU - Peng, Swee Ang

AU - Norfauzi, Md

PY - 2016/1/5

Y1 - 2016/1/5

N2 - This paper presents a new algorithm of identifying the different modes of ferroresonance (FR) using voltage signals. The voltage signals are simulated from a ferroresonance model that represents a voltage transformer energized through a grading capacitance of opened circuit breakers. Different modes of ferroresonance voltage signals were obtained by simulating various value of grading capacitance, system voltage and interrupting time. The mode's identification is automatically determined by correlating the sustained period of different ferroresonance mode signal and the sustained period of tested voltage signal. Detecting the types of ferroresonant modes plays an important role as a pre-testing tool or diagnostic tool to identify the range of parameters that would lead to the fundamental frequency ferroresonance phenomenon. The simulation is carried out by using Matlab.

AB - This paper presents a new algorithm of identifying the different modes of ferroresonance (FR) using voltage signals. The voltage signals are simulated from a ferroresonance model that represents a voltage transformer energized through a grading capacitance of opened circuit breakers. Different modes of ferroresonance voltage signals were obtained by simulating various value of grading capacitance, system voltage and interrupting time. The mode's identification is automatically determined by correlating the sustained period of different ferroresonance mode signal and the sustained period of tested voltage signal. Detecting the types of ferroresonant modes plays an important role as a pre-testing tool or diagnostic tool to identify the range of parameters that would lead to the fundamental frequency ferroresonance phenomenon. The simulation is carried out by using Matlab.

UR - http://www.scopus.com/inward/record.url?scp=84962150413&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84962150413&partnerID=8YFLogxK

U2 - 10.1109/TENCON.2015.7373195

DO - 10.1109/TENCON.2015.7373195

M3 - Conference contribution

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

BT - TENCON 2015 - 2015 IEEE Region 10 Conference

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Ali Z, Peng SA, Norfauzi M. Graphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation function. In TENCON 2015 - 2015 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc. 2016. 7373195. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2015.7373195