Circuit-Breaker Automated Failure Tracking Based on Coil Current Signature

Author

Razi-Kazemi, A.A. ; Vakilian, Mehdi ; Niayesh, Kaveh ; Lehtonen, Matti

Author_Institution

Electr. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran

Volume

29

Issue

1

fYear

2014

fDate

Feb. 2014

Firstpage

283

Lastpage

290

Abstract

The online condition assessment of circuit breakers (CBs) has been increasingly requested by power utilities in recent years. Trip and close coil current (CC) signature is an effective and noninvasive parameter in CB online condition monitoring. This paper gives an insight into the impacts of the various failures on the coil current waveform, as well as on the CB operation time. The failures and their causes are categorized based on the outcome of these investigations. Finally, a new algorithm using trip/close CC is proposed to detect the mode and cause of CB incipient failures. In this study, the CC patterns are acquired by measurements carried out on (healthy and faulty) CBs of 72.5-kV and 24-kV rating voltages, having SF₆ insulation medium, and are equipped with a spring-drive mechanism.

Keywords

SF₆ insulation; circuit breakers; condition monitoring; fault diagnosis; CB online condition monitoring; CB operation time; SF₆ insulation medium; circuit-breaker automated failure tracking; close coil current signature; coil current waveform; noninvasive parameter; online condition assessment; power utilities; spring-drive mechanism; voltage 24 kV; voltage 72.5 kV; Circuit breakers; Coils; Feature extraction; Latches; Maintenance engineering; Resistance; Voltage control; Circuit breaker (CB); condition monitoring; fault diagnosis; maintenance;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/TPWRD.2013.2276630

Filename

6587111