Aiming at the problem that the correlation degree between various current transformer's data is not analyzed when performing status detection in power system, a method of abnormal status diagnosis of current transformer based on wide area measurement is proposed. Firstly, topological analysis is carried out on the network structure of the substation by depth-first algorithm, and the regions to be detected are modeled. Then, the zero sequence current and positive sequence current of each node are calculated respectively according to the three-phase unbalance theorem. Finally, the data of all nodes are statistically analyzed by statistical principle. The abnormal current transformer is determined by comprehensively analyzing the correlation degree between the data. It makes full use of all node data in the measurement area, avoids detection of abnormal false positives caused by power system disturbance, and makes detection results more accurate and reliable. It has a certain guiding significance for practical engineering applications.
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Tan et al. (2024) studied this question.
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