Detection Method of Abnormal Operation State of Power Metering Equipment Based on Extended Kalman Filter

In order to solve the problems of low detection accuracy and slow detection speed when the existing detection methods detect the abnormal operation state of power metering equipment, an abnormal operation state detection method of power metering equipment based on extended Kalman filter is proposed. According to the operation principle of power metering equipment, set the operation state detection standard. The equivalent model is constructed according to the composition structure of power metering equipment, and the real-time operation data of each equipment component are collected and processed under the model. Using the extended Kalman filter algorithm, the operating state characteristics of power metering equipment are extracted, and the abnormal operating state detection results are obtained by comparing with the set standard. The experimental results show that the state quantity detection error and missed detection rate of the designed detection method are lower than the preset value, and the detection delay is less than 5.0s, that is, the accuracy and speed of the designed detection method meet the design and application requirements.