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作 者:何龙 朱咏明 马金财 HE Long;ZHU Yongming;MA Jincai(State Grid Xinjiang Electric Power Co.,Ltd.,Changji Electric Power Supply Company,Xinjiang Changji 831100,China)
机构地区:[1]国网新疆电力有限公司昌吉供电公司,新疆昌吉831100
出 处:《电力电容器与无功补偿》2024年第6期50-58,共9页Power Capacitor & Reactive Power Compensation
基 金:合肥市关键共性技术研发项目(2021GJ039);国家电网公司科技项目(5230CJ220001)。
摘 要:针对气体绝缘开关设备GIS内置罐式电磁式电压互感器(PT)铁磁谐振带来的设备过热、绝缘开裂甚至互感器损坏等问题,提出GIS内置互感器铁磁谐振故障辨识的方法。首先,针对铁磁谐振故障易被不确定噪声干扰造成信号特征淹没的问题,对快速谱峭度的频谱带进行插值细化,利用子带增强高频部分的分解,使信号的高频部分,在峭度图中表达的更为充分,并用图片的形式保留铁磁谐振信号的特征。其次,在此基础上,对GoogLeNet卷积神经网络的结构进行两方面调整:一方面增加卷积操作,增强网络提取潜在特征的能力;另一方面降低采样层数,解决实测数据不足的问题。最后,利用仿真模拟和实验室监测数据对方法加以验证,结果表明了所提方法在提高故障辨识准确率和节省训练时间的有效性。In view of overheating,insulation cracking and even damage of instrument transformer due to ferromagnetic resonance of the dead tank electromagnetic potential transformer(PT)in the gas insulated metal enclosed switchgear(GIS),a method for identifying the ferromagnetic resonance of the instrument transformer in GIS is proposed.Firstly,aiming at the problem that ferroresonance fault is easily disturbed by uncertain noise and causes signal feature drowning,the frequency band of fast spectral kurtosis is refined by interpolation,the sub bands is used to enhance of decomposition of the highfrequency part,and keep the expression of the high frequency part of the signal in the kurtosis graph more sufficient,and the characteristics of the ferromagnetic resonance signal is preserved in the form of images.Then,on this basis,the structure of GoogLeNet convolutional neural network is adjusted in two aspects:on the one hand,the convolution operation is added to enhance the network’s ability to extract potential features;on the other hand,reducing the number of sampling layers solves the problem of insufficient measured data.Finally,the method is verified by using simulation and laboratory monitoring data,and the results show its effectiveness in improving fault identification accuracy and saving training time.
关 键 词:GIS 电磁式电压互感器(PT) 铁磁谐振 参数匹配
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