Automatically detecting and correcting errors in power quality monitoring data

Blair, Steven M. and Booth, Campbell D. and Williamson, Gillian and Poralis, Alexandros and Turnham, Victoria (2016) Automatically detecting and correcting errors in power quality monitoring data. IEEE Transactions on Power Delivery, 32 (2). pp. 1005-1013. ISSN 0885-8977 (https://doi.org/10.1109/TPWRD.2016.2602306)

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Abstract

Dependable power quality (PQ) monitoring is crucial for evaluating the impact of smart grid developments. Monitoring schemes may need to cover a relatively large network area, yet must be conducted in a cost-effective manner. Real-time communications may not be available to observe the status of a monitoring scheme or to provide time synchronization, and therefore undetected errors may be present in the data collected. This paper describes a process for automatically detecting and correcting errors in PQ monitoring data, which has been applied in an actual smart grid project. It is demonstrated how to: unambiguously recover from various device installation errors; enforce time synchronization between multiple monitoring devices and other events by correlation of measured frequency trends; and efficiently visualize PQ data without causing visual distortion, even when some data values are missing. This process is designed to be applied retrospectively to maximize the useful data obtained from a network PQ monitoring scheme, before quantitative analysis is performed. This work therefore ensures that insights gained from the analysis of the data - and subsequent network operation or planning decisions - are also valid. A case study of a UK smart grid project, involving wide-scale distribution system PQ monitoring, demonstrates the effectiveness of these contributions. All source code used for the paper is available for reuse.

ORCID iDs

Blair, Steven M. ORCID logoORCID: https://orcid.org/0000-0002-3261-4803, Booth, Campbell D. ORCID logoORCID: https://orcid.org/0000-0003-3869-4477, Williamson, Gillian, Poralis, Alexandros and Turnham, Victoria;
  • Item type:Article
    ID code:57466
    Dates:
    Date
    Event
    24 August 2016
    Published
    6 August 2016
    Accepted
    Notes:(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components 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:18 Aug 2016 15:19
    Last modified:11 Nov 2024 11:30
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/57466
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