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文章摘要
基于ASTUKF的电力信号同步相量跟踪算法
A Synchronous Phasor Tracking Algorithm for Power SignalBased on ASTUKF
Received:March 12, 2020  Revised:March 13, 2020
DOI:10.19753/j.issn1001-1390.2023.07.020
中文关键词: STUKF  弱化因子  残差序列  自适应算法
英文关键词: STUKF, weakening  factor, residual  error sequence, adaptive  algorithm
基金项目:国家重点研发计划项目资助 (863计划)
Author NameAffiliationE-mail
Wang Chunxin* College of Electrical and Electronic Engineering,North China Electric Power University m13731216508@163.com 
Rao Yi Guangzhou Power Supply Bureau of Guangdong Power Grid Co. 1321355422@qq.com 
Niu Shengsuo College of Electrical and Electronic Engineering,North China Electric Power University niushengsuo@163.com 
Chen Zexiong Guangzhou Power Supply Bureau of Guangdong Power Grid Co. 198@qq.com 
Liang Zhirui College of Electrical and Electronic Engineering,North China Electric Power University zhiruil@sohu.com 
Wang Li Guangzhou Power Supply Bureau of Guangdong Power Grid Co. 907@qq.com 
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中文摘要:
      针对我国边远配电网电力信号的高噪声及强瞬变的特性对相量测量造成较大干扰,在噪声环境下可靠、快速并高精度的获得电力信号相量信息对于电网的稳定性与可靠性具有重要意义。文章提出一种基于自适应强跟踪无迹卡尔曼滤波(adaptive strong tracking unscented Kalman filter,ASTUKF)的电力信号同步相量跟踪算法:根据新息序列概率分布特征,构建新的系统状态判定变量判断系统是否发生突变,并在STUKF算法理论基础上提出弱化因子自适应算法,利用建立的基波相量状态空间模型构建基于ASTUKF的同步相量跟踪算法。实验结果表明,所提ASTUKF算法具有良好的检测突变的能力,能够快速准确地跟踪突变。
英文摘要:
      The characteristics of high noise and strong transients of power signals in remote distribution network in China cause great disturbance to phasor measurement.The article puts forward a kind of based on the adaptive strong tracking unscented Kalman filter (ASTUKF) power signal synchronous phasor tracking algorithm: according to the characteristics of the distribution of the probability of new interest to build a new system state decision variables to determine whether a system mutated and weakening and STUKF algorithm based on the theory of factor adaptive algorithm, used to establish the fundamental phasor state space modeling based on synchronous phasor ASTUKF tracking algorithm.Experimental results show that the proposed ASTUKF algorithm has good mutation detection ability and can track mutations quickly and accurately.
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