Skip to main content
Top

2020 | OriginalPaper | Chapter

Application of Big Data Technology in Protection Channel Interruption Analysis and Breaker Defect Identification

Authors : Maoran Zheng, Jiang Yu, Xiaobing Ding, Xianjun Li, Kai Wu, Jianwen Liang

Published in: Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control

Publisher: Springer Nature Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Microcomputer protection indicated the protection device enter the intelligent era. Over years’ operation, a huge amount of data has been accumulated. Unfortunately, mass data has not been used effectively. The development of Internet technology brings protection into information age. Two typical applications are presented in this paper. One is abnormal protection channel interruption analysis; the other is breaker defect identification. Combining the data of the Protection and Fault Recorder Management System (PFRMS) with the data of the Communication Network Management System (CNMS), abnormal interruption analysis of the protection channel is studied in this paper. It effectively extracts the channel anomaly events that need to be focused on by the protection engineer. As for breaker defect, the characteristics of each time link in the fault isolation process are analyzed. The wavelet transform is used to capture the separation moment of the contact. The arc extinguishing time is analyzed to evaluate the arc extinguishing chamber. By cluster analysis, each time duration of fault isolation is calculated, the abnormal points differ from others can be found out easily, which means there is an abnormality in the secondary circuit of the breaker.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Wang S, Zhao D (2017) Research review and prospects for power grid fault diagnosis. Autom Electr Power Syst 41(19):164–175 Wang S, Zhao D (2017) Research review and prospects for power grid fault diagnosis. Autom Electr Power Syst 41(19):164–175
2.
go back to reference Zhou N, Liao J, Wang Q et al (2019) Analysis and prospect of deep learning application in smart grid. Autom Electr Power Syst 43(4):180–191 Zhou N, Liao J, Wang Q et al (2019) Analysis and prospect of deep learning application in smart grid. Autom Electr Power Syst 43(4):180–191
3.
go back to reference Wang J, Wang D, Yang G, Zhou Z, Deng C (2016) Research and application of big data technology in relay protection. 14(12):1–7 Wang J, Wang D, Yang G, Zhou Z, Deng C (2016) Research and application of big data technology in relay protection. 14(12):1–7
4.
go back to reference Leng X, Chen G, Bai J et al (2018) General design of smart grid monitoring operation big data analysis system. Autom Electr Power Syst 42(12):160–166 Leng X, Chen G, Bai J et al (2018) General design of smart grid monitoring operation big data analysis system. Autom Electr Power Syst 42(12):160–166
5.
go back to reference Gao H, Sun M, Yu J, Zheng M, Cong W, Huang J, Wu F Anomaly correlation analysis method for line protection channel based on multi-source data. Southern Power Syst Technol 12(8):37–43 Gao H, Sun M, Yu J, Zheng M, Cong W, Huang J, Wu F Anomaly correlation analysis method for line protection channel based on multi-source data. Southern Power Syst Technol 12(8):37–43
6.
go back to reference Zhang Y, Mou X, Ma Y (2017) Study on the alarm on—The acquisition system for protection photoelectric conversion device and automatic analysis and localization method for protection channel fault. Power Syst Prot Control 45(20):158–163 Zhang Y, Mou X, Ma Y (2017) Study on the alarm on—The acquisition system for protection photoelectric conversion device and automatic analysis and localization method for protection channel fault. Power Syst Prot Control 45(20):158–163
7.
go back to reference Wang Y (2015) Research on multi-dimension analysis methods of communication network alarm. J Netw New Media 4(4):9–13 Wang Y (2015) Research on multi-dimension analysis methods of communication network alarm. J Netw New Media 4(4):9–13
8.
go back to reference Li G, Zhang B, Zhao W et al (2018) Data science issues in state evaluation of power equipment: challenges and prospects. Autom Electr Power Syst 42(21):10–20 Li G, Zhang B, Zhao W et al (2018) Data science issues in state evaluation of power equipment: challenges and prospects. Autom Electr Power Syst 42(21):10–20
9.
go back to reference Yu G, Lv J (2014) Application of big data mining analysis in power equipment state assessment. Southern Power Syst Technol 8(6):74–77 Yu G, Lv J (2014) Application of big data mining analysis in power equipment state assessment. Southern Power Syst Technol 8(6):74–77
Metadata
Title
Application of Big Data Technology in Protection Channel Interruption Analysis and Breaker Defect Identification
Authors
Maoran Zheng
Jiang Yu
Xiaobing Ding
Xianjun Li
Kai Wu
Jianwen Liang
Copyright Year
2020
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-13-9779-0_3