马晓阳, 吴永心, 袁泽惠, et al. 基于矩阵束频率跟踪的动态同步相量估计算法[J]. Power System Protection and Control, 2026, (3).
DOI:
马晓阳, 吴永心, 袁泽惠, et al. 基于矩阵束频率跟踪的动态同步相量估计算法[J]. Power System Protection and Control, 2026, (3). DOI: 10.19783/j.cnki.pspc.250594.
基于矩阵束频率跟踪的动态同步相量估计算法
摘要
间谐波干扰会导致同步相量估计算法的精度显著降低。随着电力电子元件的广泛接入,间谐波干扰已成为制约同步相量估计算法精度提高的关键瓶颈之一。针对此问题,提出了一种基于矩阵束频率跟踪的动态同步相量估计算法。该算法基于矩阵束进行频率跟踪,引入阈值筛选奇异值以抑制噪声并提取频率成分。然后,基于泰勒级数模型及相量对称特性,动态估计相量参数。最后,通过迭代降低负频分量的干扰以提高估计精度。仿真结果表明,所提算法能够实现基频的快速跟踪与同步相量参数的高精度估计,在含间谐波的场景下可有效抑制间谐波干扰。算法完全满足IEEE/IEC 60255-118-1标准中测量类(M类)相量测量单元(phasor measurement unit
PMU)的性能要求,且在多数场景下满足保护类(P类)PMU标准。
Abstract
Interharmonic interference can significantly degrade the accuracy of synchrophasor estimation algorithms. With the widespread integration of power electronic devices
interharmonic interference has become one of the key bottlenecks restricting further improvements in synchrophasor estimation accuracy. To address this issue
this paper proposes a dynamic synchrophasor estimation algorithm based on matrix pencil frequency tracking. The algorithm performs frequency tracking based on the matrix pencil method and introduces threshold-based singular value screening to suppress noise and extract frequency components. Then
dynamic estimation of phasor parameters is carried out based on the Taylor series model and the symmetric characteristics of phasors. Finally
the estimation accuracy is further improved by iteratively reducing the interference of negative-sequence frequency components. Simulation results show that the proposed algorithm can achieve fast tracking of fundamental frequency and high-precision estimation of synchrophasor parameters
and can effectively suppress interharmonic interference in test scenarios containing interharmonics. The algorithm fully meets the performance requirements of M-class PMU specified in the IEEE/IEC 60255-118-1 standard
and meets the P-class PMU standard in most scenarios.