Automatic analysis of Pole Mounted Auto-Recloser data for fault diagnosis and prognosis

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Wang, X. and Strachan, S. M. and McArthur, S. D. J. and Kirkwood, J. D.; (2015) Automatic analysis of Pole Mounted Auto-Recloser data for fault diagnosis and prognosis. In: 2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015. IEEE, PRT. ISBN 9781509001903 (https://doi.org/10.1109/ISAP.2015.7325519)

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Abstract

Fault diagnosis is a key part of a control and protection engineer’s role to ensure the effective and stable performance of electrical power networks. One challenge is to support the analysis and application of expert judgement to the, often, large data sets generated. To assist engineers with this task and improve network reliability, this research focuses on analysing previous fault activity in order to obtain an early-warning report to assist fault diagnosis and fault prognosis. This paper details the design of an integrated system with a fault diagnosis algorithm utilising available Supervisory Control And Data Acquisition (SCADA) alarm data and 11kV distribution network data captured from Pole Mounted Auto-Reclosers (PMARs) (provided by a leading UK network operator). The developed system will be capable of diagnosing the nature of a circuit’s previous fault activity, underlying circuit activity and evolving fault activity and the risk of future fault activity. This will provide prognostic decision support for network operators and maintenance staff.

ORCID iDs

Wang, X. ORCID logoORCID: https://orcid.org/0000-0003-0239-0279, Strachan, S. M. ORCID logoORCID: https://orcid.org/0000-0002-2690-496X, McArthur, S. D. J. ORCID logoORCID: https://orcid.org/0000-0003-1312-8874 and Kirkwood, J. D.;
  • Item type:Book Section
    ID code:60731
    Dates:
    Date
    Event
    12 November 2015
    Published
    9 June 2015
    Accepted
    Notes:© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:19 May 2017 16:01
    Last modified:21 Dec 2024 01:03
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/60731
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