The online monitoring data of lightning arresters are susceptible to environmental temperature,humidity,and surface contaminants.However,conventional alarm threshold setting approaches for leakage current may result in false alarms.To address this issue,this paper proposes an online monitoring alarm algorithm for arresters based on the trend comparison of three-phase data.This algorithm utilizes a temperature and humidity suppression algo-rithm to mitigate their influence on the resistive current.It calculates the imbalance coefficients of the three-phase resistive current based on the corrected resistive current data and formulates alarm rules by combining them with the alarm thresholds of the resistive current.The algorithm is validated using lightning arresters in a 220 kV substation.Compared to the original single alarm rule,this alarm strategy effectively reduces the false alarm rate and improves the accuracy and practicality of online monitoring alarms.
online arrester monitoringthree-phase data trend comparisontemperature and humidity suppressionnormal distributionWeibull distribution
维普
万方数据
