基于PCA-SVR的电能计量装置误差评估算法  

Error assessment algorithms for electric energy metering devices based on PCA-SVR

作　　者：于海波[1] 王春雨[1] 袁晓蕾 赵进全[2] Yu Haibo;Wang Chunyu;Yuan Xiaolei;Zhao Jinquan(China Electric Power Research Institute,Beijing 100192,China;School of Electrical Engineering,Xi’an Jiaotong University,Xi’an 710049,China)

机构地区：[1]中国电力科学研究院,北京100192 [2]西安交通大学电气工程学院,西安710049

出　　处：《电测与仪表》2020年第19期140-145,共6页Electrical Measurement & Instrumentation

基　　金：国家电网公司总部科技项目(JL71-18-002)。

摘　　要：针对目前电能计量综合误差计算方法无法实时评价电能计量装置误差的问题,提出了一种基于PCA-SVR的电能计量装置误差评估算法。该方法对互感器二次信号有效值进行主元分析(PCA),通过Q统计量及其贡献率对电能计量装置进行计量状态检测和异常定位。建立正常计量状态下电能计量装置合成误差的多参数降维模型,通过支持向量机回归(SVR)得到互感器实际工况下的计量误差,与在线监测获得的二次回路误差、电能表误差合成得到综合误差。文中方法可以实现电能计量误差的状态评价和合成误差的实时评估,通过仿真验证了所提方法的准确性。Aiming at the problem that the current comprehensive error calculation method of electric energy metering cannot evaluate the error of electric energy metering device in real time,an error evaluation algorithm of electric energy metering device based on PCA-SVR is proposed in this paper.The method firstly carries out principal component analysis(PCA)on the effective value of secondary signal of transformer,and detects the measurement state and locates the anomaly of the electric energy metering device by Q statistics and its contribution rate.Then,a multi-parameter dimension reduction model of synthetic error of energy metering device under normal metering state is established.The measurement error under actual working condition of transformer is obtained by support vector machine regression(SVR).The comprehensive error is synthesized with secondary circuit error and watt-hour meter error obtained by on-line monitoring.This method can realize the real-time state evaluation and synthesis error evaluation of energy metering errors.Finally,the accuracy of this method is verified by simulation.

关 键 词：电能计量装置 主元分析 支持向量机回归 状态评价 合成误差 

分 类 号：TM933[电气工程—电力电子与电力传动]