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

Khan, Umar F.; Lazaridis, Pavlos I.; Mohamed, Hamd; Albarrac�n, Ricardo; Zaharis, Zaharias D.; Atkinson, Robert C.; Tachtatzis, Christos; Glover, Ian A.

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