基于改进强跟踪无迹卡尔曼滤波的电力信号同步相量跟踪算法  

An Algorithm for Tracking Synchronous Phasor of Power Signals Based on Improved Strong Tracking Unscented Kalman Filter

作　　者：牛胜锁[1] 王春鑫 梁志瑞[1] 饶毅 陈泽雄 Niu Shengsuo;Wang Chunxin;Liang Zhirui;Rao Yi;Chen Zexiong(College of Electrical and Electronic Engineering North China Electric Power University,Baoding 071003 China;Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Guangzhou 510620 China)

机构地区：[1]华北电力大学电气与电子工程学院,保定071003 [2]广东电网有限责任公司广州供电局,广州510620

出　　处：《电工技术学报》2021年第11期2255-2264,共10页Transactions of China Electrotechnical Society

基　　金：国家重点研发计划资助项目(2017YFB0902901)。

摘　　要：配电网中各类噪声对相量测量产生较大影响,研究在高噪声环境下能够可靠检测并能快速跟踪电力信号突变的同步相量测量算法,对保证电网的稳定性与可靠性具有重要意义。提出基于量测量误差协方差次优估计的自适应强跟踪无迹卡尔曼滤波(SEMEC-ASTUKF)的同步相量测量算法。首先根据递归最小二乘法提出一种自适应常值噪声统计估计器提高量测噪声协方差估计精度;然后根据电力信号突变后特征,构建突变检测算法和渐消因子次优估计算法,改善强跟踪无迹卡尔曼滤波(STUKF)算法在高噪声环境下对突变检测能力弱和跟踪突变慢的缺陷。利用实测信号对算法性能进行验证,结果表明,SEMEC-ASTUKF算法具有更高的测量精度,对突变具有更好的检测灵敏度和更高的跟踪速度。All kinds of noises in the distribution network have a great impact on phasor measurement,so it is of great significance to study the synchronous phasor measurement algorithm which can reliably detect and quickly track the sudden change of power signal in the high noise environment to ensure the stability and reliability of the power network.An algorithm,adaptive strong tracking unscented Kalman filter based on suboptimal estimate of measurement error covariance(SEMECASTUKF),for synchronous phasor measurement was proposed.An adaptive constant noise statistical estimator was proposed to improve the estimation accuracy of measured noise covariance.Based on the characteristics of power signal after mutation,the mutation detection algorithm and the fading factor sub-optimal estimation algorithm were constructed to improve the strong tracking unscented filter(STUKF)algorithm's weak of mutation detection ability and slow mutation tracking under high noise environment.The results show that the SEMEC-ASTUKF algorithm has higher measurement accuracy,better detection sensitivity and tracking speed for mutation.

关 键 词：高噪声 强跟踪无迹卡尔曼滤波 常值噪声统计估计器 渐消因子 

分 类 号：TM712[电气工程—电力系统及自动化]