An MOA Deterioration Monitoring Method Based on an Improved HMM
In view of MOA (metal-oxide arrester) deterioration monitoring, a monitoring method based on an improved hidden Markov model (HMM) is proposed. An improved HMM model used for MOA deterioration monitoring is established by obtaining MOA leakage current data in a substation. According to the MOA leaka...
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Format: | Article |
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zhejiang electric power
2022-06-01
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Series: | Zhejiang dianli |
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Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=c3ea841c-bbd0-40cb-9d4f-3165c18ce1af |
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author | FANG Yiyue FANG Wentian LI Tao ZHU Yuzhao CHEN Xiaobin |
author_facet | FANG Yiyue FANG Wentian LI Tao ZHU Yuzhao CHEN Xiaobin |
author_sort | FANG Yiyue |
collection | DOAJ |
description | In view of MOA (metal-oxide arrester) deterioration monitoring, a monitoring method based on an improved hidden Markov model (HMM) is proposed. An improved HMM model used for MOA deterioration monitoring is established by obtaining MOA leakage current data in a substation. According to the MOA leakage current harmonics content of the same bus in the substation, the HMM observation probability matrix is obtained using D-S (Dempster-Shafter) evidence fusion theory and particle swarm optimization. The influence of grid voltage harmonics on the model is studied by MATLAB simulation. The simulation results show that the maximum errors of MOA nonlinear characteristic coefficients a and k are 0.21% and 0.02%, respectively, under the interference of voltage harmonics. It has been proved that the model can counteract the influence of power grid voltage harmonics and improve the online monitoring accuracy of MOA deterioration. |
first_indexed | 2024-04-14T02:50:06Z |
format | Article |
id | doaj.art-66c70d75e408434f9aea874d15a31604 |
institution | Directory Open Access Journal |
issn | 1007-1881 |
language | zho |
last_indexed | 2024-04-14T02:50:06Z |
publishDate | 2022-06-01 |
publisher | zhejiang electric power |
record_format | Article |
series | Zhejiang dianli |
spelling | doaj.art-66c70d75e408434f9aea874d15a316042022-12-22T02:16:18Zzhozhejiang electric powerZhejiang dianli1007-18812022-06-01416697510.19585/j.zjdl.2022060101007-1881(2022)06-0069-07An MOA Deterioration Monitoring Method Based on an Improved HMMFANG YiyueFANG WentianLI TaoZHU YuzhaoCHEN XiaobinIn view of MOA (metal-oxide arrester) deterioration monitoring, a monitoring method based on an improved hidden Markov model (HMM) is proposed. An improved HMM model used for MOA deterioration monitoring is established by obtaining MOA leakage current data in a substation. According to the MOA leakage current harmonics content of the same bus in the substation, the HMM observation probability matrix is obtained using D-S (Dempster-Shafter) evidence fusion theory and particle swarm optimization. The influence of grid voltage harmonics on the model is studied by MATLAB simulation. The simulation results show that the maximum errors of MOA nonlinear characteristic coefficients a and k are 0.21% and 0.02%, respectively, under the interference of voltage harmonics. It has been proved that the model can counteract the influence of power grid voltage harmonics and improve the online monitoring accuracy of MOA deterioration.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=c3ea841c-bbd0-40cb-9d4f-3165c18ce1afmoahmmdeterioration monitoringharmonic disturbanceonline monitoring |
spellingShingle | FANG Yiyue FANG Wentian LI Tao ZHU Yuzhao CHEN Xiaobin An MOA Deterioration Monitoring Method Based on an Improved HMM Zhejiang dianli moa hmm deterioration monitoring harmonic disturbance online monitoring |
title | An MOA Deterioration Monitoring Method Based on an Improved HMM |
title_full | An MOA Deterioration Monitoring Method Based on an Improved HMM |
title_fullStr | An MOA Deterioration Monitoring Method Based on an Improved HMM |
title_full_unstemmed | An MOA Deterioration Monitoring Method Based on an Improved HMM |
title_short | An MOA Deterioration Monitoring Method Based on an Improved HMM |
title_sort | moa deterioration monitoring method based on an improved hmm |
topic | moa hmm deterioration monitoring harmonic disturbance online monitoring |
url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=c3ea841c-bbd0-40cb-9d4f-3165c18ce1af |
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