基于软同步采样和时间脉冲信号参考的相位测量方法

Jie Zhang, Chao Tang, Chun Liu, Hai Wang, Junfeng Duan, Sihao Tang
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摘要

简介相位测量对于电网的监控和管理至关重要。传统的基于硬件的相位测量单元(PMU)虽然有效,但往往复杂而昂贵。本文介绍了一种基于软件的相位测量方法,它利用 GPS 和移动通信站的时间脉冲信号进行软同步,提供了一种更简单、更经济的替代方法:方法:所提出的方法将本地振荡器与全球定位系统的每秒脉冲(PPS)信号和移动通信基地的主同步信号同步。受本地振荡器不稳定性影响的原始数据通过 B 样条插值法转换为校准数据,以模拟理想的采样率。校准后的数据采用递归离散傅里叶变换(RDFT)算法进行同步相位测量:结果:根据 C37.118.1 标准对该方法的性能进行了评估。对频率、相位和总矢量误差 (TVE) 等关键性能指标进行了评估。所提出的基于软件的方法在同步相位测量中表现出很高的准确性:讨论:结果证实,所提出的方法可作为传统硬件解决方案的高精度和更简单的替代方案。它的应用有望推动电网监测中的同步相位测量实践,提高可靠性并降低复杂性和成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phasor measurement method based on soft synchronized sampling with temporal pulse signal reference
Introduction: Phasor measurement is crucial for the monitoring and management of power grids. Traditional hardware-based phasor measurement units (PMUs) are effective but often complex and expensive. This paper introduces a software-based phasor measurement method that utilizes soft synchronization with temporal pulse signals from GPS and mobile communication stations, offering a simpler and cost-effective alternative.Methods: The proposed method synchronizes the local oscillator with Pulse Per Second (PPS) signals from GPS and primary synchronization signals from mobile communication bases. Raw data affected by the local oscillator’s instability are transformed into calibrated data using B-Spline interpolation to emulate an ideal sampling rate. The calibrated data are then subjected to a Recursive Discrete Fourier Transform (RDFT) algorithm for synchronized phasor measurement.Results: The method’s performance was assessed in compliance with the C37.118.1 standard. Key performance indicators, such as frequency, phase, and Total Vector Error (TVE), were evaluated. The proposed software-based approach demonstrated high accuracy in synchronized phasor measurements.Discussion: The results confirm that the proposed method can serve as a highly accurate and simpler alternative to conventional hardware-based solutions. Its application promises to advance synchronized phasor measurement practices in power grid monitoring, enhancing reliability and reducing complexity and costs.
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