Automatic Identification Model of Operating State of Power Control System Based on Artificial Intelligence
In order to solve the problems of complex logic topology,numerous data parameters and inaccurate judg-ment of the operating state in the power control system,an automatic identification model of the operation state of the power control system based on the graph model was proposed.Based on the graph model,the time series of dif-ferent data features in the power control system are clustered,and the corresponding difference matrix is constructed after discretization.Through the establishment of the identification model,the operation status of the power control system and whether it is a fault alarm are judged and identified.After the example verification,the proposed method has advantages over other algorithms in terms of recall rate,nDCG and false alarm rate.
graph modelpower control systemclusteringalarm statusinformation metrics
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