Abstract Accurate phasor estimation is critical to the reliable operation of power systems, particularly under interference and dynamic conditions. Taylor weighted least square (TWLS) method has been widely used due to its good dynamic performance. However, TWLS is sensitive to frequency deviation, and cannot consider anti-interference and dynamic performance capabilities simultaneously. To overcome these shortcomings, an accurate phasor estimation method for M-class phasor measurement units (PMUs) with a low computational burden is proposed to improve TWLS in this paper. The method contains three steps: (1) A phasor measurement filter (PMF) is designed by selecting parameters of TWLS method to prioritize dynamic phasor accuracy and a high level of suppression on high-frequency interferences; (2) A finite impulse response (FIR) lowpass filter is designed by the equal-ripple method is put forward to suppress low-frequency interferences; (3) Phasor amplitude is corrected under off-nominal conditions. In addition, a frequency and rate-of-change-of-frequency (ROCOF) estimation method based on the filtering analysis of least square (LS) method is proposed to improve their accuracy under dynamic conditions. Simulation and experimental test results show that the proposed method can require lower computational burden to provide higher accuracy measurements under off-nominal, dynamic and interference conditions, compared with some improved TWLS methods.

中文翻译：

---

估计同步相量的一种改进的泰勒加权最小二乘法

摘要 准确的相量估计对于电力系统的可靠运行至关重要，尤其是在干扰和动态条件下。泰勒加权最小二乘法(TWLS)因其良好的动态性能而被广泛应用。但是，TWLS 对频偏很敏感，不能同时考虑抗干扰和动态性能能力。为了克服这些缺点，本文提出了一种计算负担低的 M 类相量测量单元 (PMU) 的精确相量估计方法来改进 TWLS。该方法包括三个步骤： (1) 通过选择 TWLS 方法的参数来设计相量测量滤波器 (PMF)，以优先考虑动态相量精度和对高频干扰的高度抑制；(2)提出了一种利用等纹波方法设计的有限脉冲响应(FIR)低通滤波器来抑制低频干扰；(3) 在非标称条件下校正相量幅度。此外，提出了一种基于最小二乘法（LS）滤波分析的频率和频率变化率（ROCOF）估计方法，以提高其在动态条件下的准确性。仿真和实验测试结果表明，与一些改进的 TWLS 方法相比，所提出的方法可以在非标称、动态和干扰条件下提供更高精度的测量所需的计算负担。提出了一种基于最小二乘法(LS)滤波分析的频率和频率变化率(ROCOF)估计方法，以提高其在动态条件下的精度。仿真和实验测试结果表明，与一些改进的 TWLS 方法相比，所提出的方法可以在非标称、动态和干扰条件下提供更高精度的测量所需的计算负担。提出了一种基于最小二乘法(LS)滤波分析的频率和频率变化率(ROCOF)估计方法，以提高其在动态条件下的精度。仿真和实验测试结果表明，与一些改进的 TWLS 方法相比，所提出的方法可以在非标称、动态和干扰条件下提供更高精度的测量所需的计算负担。