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An efficient algorithm for partial discharge localization in high-voltage systems using received signal strength.

Authors

Umar F. Khan

Pavlos I. Lazaridis

Hamd Mohamed

Ricardo

Zaharias D. Zaharis

Robert C. Atkinson

Christos Tachtatzis

Ian A. Glover



Abstract

The term partial discharge (PD) refers to a partial bridging of insulating material between electrodes that sustain an electric field in high-voltage (HV) systems. Long-term PD activity can lead to catastrophic failures of HV systems resulting in economic, energy and even human life losses. Such failures and losses can be avoided by continuously monitoring PD activity. Existing techniques used for PD localization including time of arrival (TOA) and time difference of arrival (TDOA), are complicated and expensive because they require time synchronization. In this paper, a novel received signal strength (RSS) based localization algorithm is proposed. The reason that RSS is favoured in this research is that it does not require clock synchronization and it only requires the energy of the received signal rather than the PD pulse itself. A comparison was made between RSS based algorithms including a proposed algorithm, the ratio and search and the least squares algorithm to locate a PD source for nine different positions. The performance of the algorithms was evaluated by using two field scenarios based on seven and eight receiving nodes, respectively. The mean localization error calculated for two-field-trial scenarios show, respectively, 1.80 m and 1.76 m for the proposed algorithm for all nine positions, which is the lowest of the three algorithms.

Citation

KHAN, U.F., LAZARIDIS, P.I., MOHAMED, H., ALBARRACIN, R., ZAHARIS, Z.D., ATKINSON, R.C., TACHTATZIS, C. and GLOVER, I.A. 2018. An efficient algorithm for partial discharge localization in high-voltage systems using received signal strength. Sensors [online], 18(11), article ID 4000. Available from: https://doi.org/10.3390/s18114000

Journal Article Type Article
Acceptance Date Nov 14, 2018
Online Publication Date Nov 16, 2018
Publication Date Nov 30, 2018
Deposit Date Oct 1, 2020
Publicly Available Date Oct 1, 2020
Journal Sensors
Print ISSN 1424-3210
Electronic ISSN 1424-8220
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 18
Issue 11
Article Number 4000
DOI https://doi.org/10.3390/s18114000
Keywords Field trials; Localization algorithm; Least squares algorithm; Partial discharge; Ratio and search algorithm; RSS
Public URL https://rgu-repository.worktribe.com/output/971918

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