Power distribution network fault diagnosis method based on PMU measurement data and SCADA data fusion

• Main Authors: LI WEIJUN, CHEN ZHAO, SONG RENJIE, SONG NAICHAO, SONG ZHIYONG, HEI CONG, JI LIANG, TANG XIN, ZHENG MIAO, LI MINGMING, WANG RUIQI, XI RUILING
• Format: Patent
• Language: Chinese; English
• Published: 27.06.2023
• Subjects: MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING

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