Incremental Multivariate State Estimation Technique-Based Fault Estimation Method for Motor-driven High-Voltage Circuit Breakers

The fault estimation of motor-driven high-voltage circuit breakers, which is important for improving a system’s security, operation, and maintenance, has attracted extensive research interest. Currently, most fault estimations schemes of motor-driven high-voltage circuit breakers worldwide detect a single variable, where the estimation accuracy is significantly affected by parameter selection. Besides, a motor-driven high-voltage circuit breaker’s fault may result from multiple parameters. Therefore, this paper develops a comprehensive multiparameter estimation for the motor-driven high-voltage circuit breakers and utilizes the evaluation results to support the optimal operation of the intelligent grid. Specifically, the voltage, current, speed, and position parameters are used to build the fault estimation model of the motor-driven high-voltage circuit breakers to achieve the memory matrix’s real-time dynamic update and de-redundancy. The current operating state is then judged for abnormalities by comparing the defined threshold and residual between the estimated model output operation state and the equipment’s current actual operation state. Finally, the effectiveness of the proposed method is verified by numerical simulations.