Partial discharge direction‐of‐arrival estimation in air‐insulated substation by UHF wireless array and RSSI maximum likelihood estimator. Issue 23 (21st October 2020)

• Record Type: Journal Article
• Authors: Han, Bei; Luo, Lingen; Sheng, Gehao; Jiang, Xiuchen
• Is Part Of: IET generation, transmission & distribution. Volume 14:Issue 23(2020)
• Page Start: 5491
• Page End: 5497
• Publication Date: 2020-10-21
• Subjects: wireless sensor networks -- direction‐of‐arrival estimation -- maximum likelihood estimation -- sensor arrays -- synchronisation -- gas insulated substations -- partial discharge measurement -- interpolation; air‐insulated substation -- UHF wireless array -- RSSI maximum likelihood estimator -- partial discharge detection -- AIS -- ultrahigh‐frequency sensor arrays -- power equipment monitoring -- electromagnetic wave signals -- high‐sampling rate -- time synchronisation accuracy -- received signal strength indicator -- power pattern -- UHF wireless sensor array -- PD DOA method -- preliminary DOA result -- partial discharge direction‐of‐arrival estimation -- partial discharge localisation -- PD time difference‐of‐arrival methods -- interpolation algorithm -- clustering algorithm; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2020.0703
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : The quick detection and localisation of partial discharge (PD) in an air‐insulated substation (AIS) based on ultrahigh‐frequency (UHF) sensor arrays are efficient for power equipment monitoring. The adopted UHF PD time difference‐of‐arrival (DOA) methods mainly use the time difference of electromagnetic wave signals. Thus, the system requires both a high‐sampling rate and time synchronisation accuracy, leading to a high cost and large size. In this study, the feasibility and accuracy of PD DOA in an AIS were investigated using an UHF wireless sensor array and the received signal strength indicator. First, the power pattern of the designed UHF wireless sensor array was obtained via an offline experiment. Then, a statistical approach to the PD DOA method based on the maximum likelihood estimator was employed to obtain the preliminary DOA result. Finally, interpolation and clustering algorithms were used to improve the accuracy of the DOA. A laboratory test was conducted. The average error of the PD DOA was <6°, and the cost‐effectiveness and portability were clearly improved.