基于角点定位的高压断路器分合闸线圈电流特征提取及状态判别OACSTPCD
Feature extraction and state discrimination of opening and closing coils of high-voltage circuit breakers based on corner point location
分合闸线圈的电流特性提取是高压断路器状态监测的重要手段.从高压断路器分合闸线圈电流的波形形态出发,研究了基于CCS(曲率尺度空间)局部阈值的电流波形角点提取方法,进而根据真实角点处的电流特征曲线实现了高压断路器机械状态的精准监测.对某变电站高压断路器实测分合闸线圈电流的计算结果表明,所提CCS局部阈值方法能够精确识别分合闸线圈电流的波形特征.基于分合闸线圈电流特征曲线的高压断路器机械状态监测效果良好,研究结果可为高压断路器的机械状态监测提供重要参考.
The extraction of current characteristics from the opening and closing coils is a crucial method for moni-toring the state of high-voltage circuit breakers.Based on the waveform patterns of the opening and closing coil cur-rents in high-voltage circuit breakers,the paper investigates a corner point extraction method of current waveform based on local thresholds of curvature scale space(CCS).Subsequently,the characteristic curves of current at ac-tual corner points are used to precisely monitor the mechanical state of high-voltage circuit breakers.Calculations based on the measured opening and closing coil currents from high-voltage circuit breakers in a specific substation indicate that the proposed local threshold method of the CCS can accurately identify the waveform features of the opening and closing coil currents.The mechanical state monitoring of high-voltage circuit breakers based on the characteristic curves of opening and closing coil currents shows excellent results.The research findings can provide crucial references for the mechanical state monitoring of high-voltage circuit breakers.
王劭鹤;姜炯挺;蒋科若;张淼彬;王丰华;陈孝信
国网浙江省电力有限公司电力科学研究院,杭州 310014上海交通大学 电气工程系,上海 200240国网浙江省电力有限公司宁波供电公司,浙江 宁波 315100
高压断路器分合闸线圈电流角点检测曲率尺度空间机械状态
high-voltage circuit breakeropening and closing coil currentscorner point detectionCCSmechani-cal state
《浙江电力》 2024 (006)
125-132 / 8
国网浙江省电力有限公司科技项目(5211DS220007)
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