Disconnector Fault Analysis and Diagnosis Method Based on AO-shapelet

In order to accurately identify the fault types of disconnector and reduce the security risk of power grid, this paper proposes an Automatic Optimization shapelet (AO-shapelet) algorithm to diagnose the faults of disconnector. Firstly, the relationship between the driving motor current and the operating torque after the isolation switch failure is derived. Secondly, the motor current data corresponding to different fault torques are obtained by field simulation, and the characteristics of the data are analyzed. Finally, the AO-shapelet algorithm is used to analyze the fault. The advantage is that this paper does not search for possible shapelet candidates from the series, but proposes a formal method that can directly learn the best shapelet without exploring all possible candidates.