1 Citation (Scopus)

Abstract

High voltage power transformers are one of the most critical equipments in the electric power grid. A sudden failure of a power transformer can significantly disrupt bulk power delivery. Before a transformer reaches its critical failure state, there are indicators which, if monitored periodically, can alert an operator that the transformer is heading towards a failure. One of the indicators is the signal to noise ratio (SNR) of the voltage and current signals in substations located in the vicinity of the transformer. During normal operations, the width of the SNR band is small. However, when the transformer heads towards a failure, the widths of the bands increase, reaching their maximum just before the failure actually occurs. This change in width of the SNR can be observed by sensors, such as phasor measurement units (PMUs) located nearby. Identifying Code is a mathematical tool that enables one to uniquely identify one or more objects of interest, by generating a unique signature corresponding to those objects, which can then be detected by a sensor. In this paper, we first describe how Identifying Code can be utilized for detecting failure of power transformers. Then, we apply this technique to determine the fewest number of sensors needed to uniquely identify failing transformers in different test systems.

Original languageEnglish (US)
Title of host publicationCritical Information Infrastructures Security - 13th International Conference, CRITIS 2018, Revised Selected Papers
EditorsEric Luiijf, Inga Žutautaitė, Bernhard M. Hämmerli
PublisherSpringer Verlag
Pages29-41
Number of pages13
ISBN (Print)9783030058487
DOIs
StatePublished - Jan 1 2019
Event13th International Conference on Critical Information Infrastructures Security, CRITIS 2018 - Kaunas, Lithuania
Duration: Sep 24 2018Sep 26 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11260 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Critical Information Infrastructures Security, CRITIS 2018
CountryLithuania
CityKaunas
Period9/24/189/26/18

Fingerprint

Identifying Code
Power transformers
Health Monitoring
Power System
Transformer
Signal to noise ratio
Health
Power Transformer
Monitoring
Sensors
Phasor measurement units
Electric potential
Sensor
Voltage
Test System
Signature
Grid
Unit
Operator

Keywords

  • Identifying codes
  • PMU placement
  • Transformer health

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Basu, K., Padhee, M., Roy, S., Pal, A., Sen, A., Rhodes, M., & Keel, B. (2019). Health monitoring of critical power system equipments using identifying codes. In E. Luiijf, I. Žutautaitė, & B. M. Hämmerli (Eds.), Critical Information Infrastructures Security - 13th International Conference, CRITIS 2018, Revised Selected Papers (pp. 29-41). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11260 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-05849-4_3

Health monitoring of critical power system equipments using identifying codes. / Basu, Kaustav; Padhee, Malhar; Roy, Sohini; Pal, Anamitra; Sen, Arunabha; Rhodes, Matthew; Keel, Brian.

Critical Information Infrastructures Security - 13th International Conference, CRITIS 2018, Revised Selected Papers. ed. / Eric Luiijf; Inga Žutautaitė; Bernhard M. Hämmerli. Springer Verlag, 2019. p. 29-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11260 LNCS).

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

Basu, K, Padhee, M, Roy, S, Pal, A, Sen, A, Rhodes, M & Keel, B 2019, Health monitoring of critical power system equipments using identifying codes. in E Luiijf, I Žutautaitė & BM Hämmerli (eds), Critical Information Infrastructures Security - 13th International Conference, CRITIS 2018, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11260 LNCS, Springer Verlag, pp. 29-41, 13th International Conference on Critical Information Infrastructures Security, CRITIS 2018, Kaunas, Lithuania, 9/24/18. https://doi.org/10.1007/978-3-030-05849-4_3
Basu K, Padhee M, Roy S, Pal A, Sen A, Rhodes M et al. Health monitoring of critical power system equipments using identifying codes. In Luiijf E, Žutautaitė I, Hämmerli BM, editors, Critical Information Infrastructures Security - 13th International Conference, CRITIS 2018, Revised Selected Papers. Springer Verlag. 2019. p. 29-41. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-05849-4_3
Basu, Kaustav ; Padhee, Malhar ; Roy, Sohini ; Pal, Anamitra ; Sen, Arunabha ; Rhodes, Matthew ; Keel, Brian. / Health monitoring of critical power system equipments using identifying codes. Critical Information Infrastructures Security - 13th International Conference, CRITIS 2018, Revised Selected Papers. editor / Eric Luiijf ; Inga Žutautaitė ; Bernhard M. Hämmerli. Springer Verlag, 2019. pp. 29-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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