基于随机矩阵的电力计量装置运行状态异常监测

Anomaly Monitoring of Running State of Electric Power Metering Device Based on Random Matrix

电力计量装置在长期运行过程中,易发生局部异常现象,导致测量误差大。为此,提出了基于随机矩阵的电力计量装置运行状态异常监测方法。通过电力计量装置结构,进行综合误差分析,基于分析结果提出电力计量装置误差控制策略,降低电力计量装置误差;结合随机矩阵理论及时间序列分析,在获取电力计量装置时间序列极限谱分布的基础上构建矩阵,从而确定电力计量装置运行状态特征值;再以圆环律角度,利用建立的异常监测模型对运行特征开展异常监测,实现电力计量装置运行状态异常监测。实验结果表明,使用所提方法开展监测性能及误判率测试时,该方法的监测效果好、精度高,可有效提升电力计量装置的可靠性,保障装置的安全运行。

During the long-term operation of the power metering device,local abnormal phenomena are prone to occur,resulting in large measurement errors.For this reason,a random matrix based method for monitoring abnormal operation state of power metering devices is proposed.Through the structure of power metering device,the comprehensive error analysis is carried out.Based on the analysis results,the error control strategy of power metering device is proposed to reduce the error of power metering device.Combined with random matrix theory and time series analysis,a matrix is constructed on the basis of obtaining the limit spectrum distribution of time series of power metering devices to determine the operating state eigenvalue of power metering devices.From the angle of circular law,the anomaly monitoring model is used to monitor the operation characteristics and realize the abnormal monitoring of the operation state of power metering devices.The experimental results show that when the proposed method is used to test the monitoring performance and misjudgment rate,the method has good monitoring effect and high accuracy,which can effectively improve the reliability of the power metering device and ensure the safe operation of the device.