Power distribution network fault diagnosis method based on PMU measurement data and SCADA data fusion
The invention relates to a power distribution network fault diagnosis method based on PMU measurement data and SCADA data fusion, and the method comprises the following steps: S1, calculating the data of each node of a power distribution network according to the transfer matrix principle through the...
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Format | Patent |
Language | Chinese English |
Published |
27.06.2023
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Abstract | The invention relates to a power distribution network fault diagnosis method based on PMU measurement data and SCADA data fusion, and the method comprises the following steps: S1, calculating the data of each node of a power distribution network according to the transfer matrix principle through the data, collected by PMU equipment, of the power distribution network before a fault, and mastering the topological structure of the power grid; s2, adopting a weighted Bayesian network algorithm, reducing a fault area by using SCADA system data, calculating a fault probability of each element, and standardizing the fault probability into a switching value fault degree; s3, calculating fault nodes and related branch information according to a fault superposition principle, and standardizing the obtained fault information into an electrical quantity fault degree; s4, performing D-S evidence theory fusion on the electrical quantity fault degree and the switching quantity fault degree to obtain a power distribution net |
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AbstractList | The invention relates to a power distribution network fault diagnosis method based on PMU measurement data and SCADA data fusion, and the method comprises the following steps: S1, calculating the data of each node of a power distribution network according to the transfer matrix principle through the data, collected by PMU equipment, of the power distribution network before a fault, and mastering the topological structure of the power grid; s2, adopting a weighted Bayesian network algorithm, reducing a fault area by using SCADA system data, calculating a fault probability of each element, and standardizing the fault probability into a switching value fault degree; s3, calculating fault nodes and related branch information according to a fault superposition principle, and standardizing the obtained fault information into an electrical quantity fault degree; s4, performing D-S evidence theory fusion on the electrical quantity fault degree and the switching quantity fault degree to obtain a power distribution net |
Author | LI MINGMING WANG RUIQI SONG RENJIE JI LIANG XI RUILING SONG ZHIYONG LI WEIJUN TANG XIN CHEN ZHAO ZHENG MIAO SONG NAICHAO HEI CONG |
Author_xml | – fullname: LI WEIJUN – fullname: CHEN ZHAO – fullname: SONG RENJIE – fullname: SONG NAICHAO – fullname: SONG ZHIYONG – fullname: HEI CONG – fullname: JI LIANG – fullname: TANG XIN – fullname: ZHENG MIAO – fullname: LI MINGMING – fullname: WANG RUIQI – fullname: XI RUILING |
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DocumentTitleAlternate | 一种基于PMU量测数据和SCADA数据融合的配电网故障诊断方法 |
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RelatedCompanies | ZHUMADIAN POWER SUPPLY COMPANY OF STATE GRID HENAN ELECTRIC POWER COMPANY SHANGHAI UNIVERSITY OF ELECTRIC POWER |
RelatedCompanies_xml | – name: SHANGHAI UNIVERSITY OF ELECTRIC POWER – name: ZHUMADIAN POWER SUPPLY COMPANY OF STATE GRID HENAN ELECTRIC POWER COMPANY |
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Snippet | The invention relates to a power distribution network fault diagnosis method based on PMU measurement data and SCADA data fusion, and the method comprises the... |
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Title | Power distribution network fault diagnosis method based on PMU measurement data and SCADA data fusion |
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