Feasibility Study on Condition Monitoring of Power Network Asset Using PMU Measurements
Paper
Bai, Feifei, Cui, Yi, Zhang, Ge, Dart, David, Yaghoobi, Jalil and Zillmann, Matthew. 2022. "Feasibility Study on Condition Monitoring of Power Network Asset Using PMU Measurements." 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). Shanghai, China 08 - 11 Jul 2022 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICPSAsia55496.2022.9949946
| Paper/Presentation Title | Feasibility Study on Condition Monitoring of Power Network Asset Using PMU Measurements |
|---|---|
| Presentation Type | Paper |
| Authors | Bai, Feifei, Cui, Yi, Zhang, Ge, Dart, David, Yaghoobi, Jalil and Zillmann, Matthew |
| Journal or Proceedings Title | Proceedings of 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) |
| Journal Citation | pp. 1708-1713 |
| Number of Pages | 6 |
| Year | 2022 |
| Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
| Place of Publication | China |
| ISBN | 9781665450669 |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/ICPSAsia55496.2022.9949946 |
| Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/9949946 |
| Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/9948701/proceeding |
| Conference/Event | 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) |
| Event Details | 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) Parent IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) Delivery In person Event Date 08 to end of 11 Jul 2022 Event Location Shanghai, China |
| Abstract | Current asset management for distribution networks has adopted a passive strategy - either run to failure or perform field inspection of limited assets within a fixed period. This paper aims to study the feasibility of using high-resolution data recorded by phasor measurement units (PMUs) for real-time asset monitoring. Accelerated ageing experiment on a laboratory transformer and the insulator pollution experiment have been performed. The PMU measurements collected from both experiments are used to evaluate the asset health conditions by examing the standard deviation of the signal to noise ratio (SNR) after the statistical analysis and noise segregation of the original PMU measurements. A comparative study between the traditional condition assessment method and the proposed method demonstrates the feasibility of using the PMU data to evaluate the asset health conditions. |
| Keywords | Asset condition monitoring; PMU; transformer ageing; insulator failure; signal to noise ratio |
| ANZSRC Field of Research 2020 | 400803. Electrical energy generation (incl. renewables, excl. photovoltaics) |
| 460403. Data security and protection | |
| Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
| Byline Affiliations | University of Queensland |
| Griffith University | |
| NOJA Power, Australia | |
| Energy Queensland, Australia |
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