A method for detecting resistive current of a surge arrester based on adaptive noise cancellation

By using the Adaptive Noise Cancellation (ANC) algorithm and the Variable Step Size (LMS) strategy, the problems of noise interference and equivalent capacitance drift in resistive current detection of zinc oxide surge arresters were solved, achieving high-precision resistive current detection and improving the monitoring accuracy of surge arresters and the stability of the power grid.

CN121164705BActive Publication Date: 2026-02-10HUBEI ELECTRIC POWER TRANSMISSION & DISTRIBUTION ENG
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Patent Information

Application Number
CN202511700980.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-19
Publication Date
2026-02-10
Estimated Expiration
2045-11-19

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately detect the resistive current of zinc oxide surge arresters in complex electromagnetic environments. Traditional methods are susceptible to noise interference and cannot track changes in the equivalent capacitance of the surge arrester in real time, leading to distorted detection results and false alarms.

Method used

An adaptive noise cancellation algorithm (ANC) combined with a variable step size LMS strategy is adopted. Signals are collected through current sensors and capacitive voltage dividers, and phase compensation and wavelet denoising are performed to dynamically adapt to the equivalent capacitance parameters of the surge arrester and separate the resistive current component in real time.

Benefits of technology

It improves the anti-interference capability and accuracy of the detection system, enables real-time separation of resistive current in complex environments, is suitable for high-precision monitoring of surge arresters, reduces false alarms, and enhances the stability and safety of the power grid.

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Abstract

The application discloses a lightning arrester resistance current detection method based on adaptive noise cancellation, which comprises the following steps: compensating the phase of target leakage current and target voltage based on a PID algorithm to obtain compensated leakage current and voltage; de-noising the compensated leakage current and reserving signal characteristics based on a wavelet de-noising method to obtain de-noised leakage current and signal fault characteristics thereof; extracting the de-noised leakage current based on an adaptive noise cancellation method (ANC) and the compensated voltage to obtain a resistance current component of the de-noised leakage current. The resistance component of the leakage current is obtained by canceling the capacitive current component of the de-noised leakage current through the adaptive noise cancellation algorithm (ANC), and the variable step LMS strategy is combined to dynamically adapt the equivalent capacitance parameter of the lightning arrester. The method can improve the anti-interference ability of the measurement system, can separate the resistance component in real time, has good dynamic characteristics, and is suitable for lightning arrester resistance current detection in complex environments.
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