Power distribution network fault diagnosis and early warning system based on big data

• Main Authors: CHEN XIAODONG, ZHANG MAN, LIU HONGHUI, LYU SHUAI, WANG QI, ZHANG XIANG, LU BIAO, ZHU WEIQIANG, SHI MINGMING, WANG PING, DUAN CHUANKE, ZHOU YUNSHENG, LIU HAIYANG, CHEN YEGANG, AHN KWANG-BAE, CHEN CHENG
• Format: Patent
• Language: Chinese; English
• Published: 11.06.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; MEASURING QUANTITY OF HEAT; MEASURING TEMPERATURE; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR; TESTING; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR

The invention discloses a power distribution network fault diagnosis and early warning system based on big data, relates to the technical field of power distribution network fault diagnosis, solves the problem that an original fault diagnosis mode cannot directly lock fault causes, and provides a fault diagnosis and early warning system for a power distribution network by performing fault analysis on confirmed abnormal nodes. Whether abnormal nodes are influenced by corresponding short-circuit nodes or not is judged, so that whether the abnormal nodes are misjudged or not is judged, the comprehensiveness in the fault diagnosis process of the power distribution network is improved, and the judgment accuracy of the abnormal nodes is improved; in order to determine the specific abnormal condition of the corresponding abnormal node, obtain the corresponding data of the terminal of the abnormal node and identify whether the terminal has poor contact, the abnormal reason of the abnormal node is determined, so that