许苏迪, 袁宇波, 王晨清, 李娟, 李鹏, 高磊. 次/超同步间谐波影响下PMU基波频率测量误差机理分析及抑制[J]. 电力系统自动化, 2024, 48(17): 88-96.
引用本文: 许苏迪, 袁宇波, 王晨清, 李娟, 李鹏, 高磊. 次/超同步间谐波影响下PMU基波频率测量误差机理分析及抑制[J]. 电力系统自动化, 2024, 48(17): 88-96.
XU Sudi, YUAN Yubo, WANG Chenqing, LI Juan, LI Peng, GAO Lei. Mechanism Analysis and Suppression of PMU Fundamental Frequency Measurement Error Under Influence of Sub-/Super-synchronous Interharmonics[J]. Automation of Electric Power Systems, 2024, 48(17): 88-96.
Citation: XU Sudi, YUAN Yubo, WANG Chenqing, LI Juan, LI Peng, GAO Lei. Mechanism Analysis and Suppression of PMU Fundamental Frequency Measurement Error Under Influence of Sub-/Super-synchronous Interharmonics[J]. Automation of Electric Power Systems, 2024, 48(17): 88-96.

次/超同步间谐波影响下PMU基波频率测量误差机理分析及抑制

Mechanism Analysis and Suppression of PMU Fundamental Frequency Measurement Error Under Influence of Sub-/Super-synchronous Interharmonics

  • 摘要: 高比例新能源和高比例电力电子设备在电网中产生了大量的次/超同步间谐波,导致同步相量测量装置(PMU)的基波频率测量出现较大偏差,影响各类频率相关应用的效果。因此,文中提出了一种次/超同步间谐波影响下基波频率测量误差机理分析及其抑制方法。首先,建立了频率测量算法的频域特性模型,基于此推导了单个间谐波和对称次/超同步间谐波影响下的基波频率振荡数学模型,揭示了间谐波干扰下的基波频率测量误差机理。其次,根据频率的振荡行为,建立了多分量叠加的拟合模型,提出了基于傅里叶变换和最小二乘法的短时窗频率振荡分量抑制方法,大幅降低了基波频率偏差。最后,仿真和现场录波数据测试表明,所提方法极大降低了频率测量误差。

     

    Abstract: The high proportion of renewable energy and power electronic equipment has generated a large number of sub-/supersynchronous interharmonics in the power grid, resulting in significant deviations in the fundamental frequency measurement of synchrophasor measurement unit(PMU), which affects the effectiveness of various frequency applications. Therefore, the paper proposes a mechanism analysis and suppression method for fundamental frequency measurement error under the influence of sub-/super-synchronous interharmonics. Firstly, a frequency domain characteristic model of the frequency measurement algorithm is established, and based on this, a mathematical model of fundamental frequency oscillation under the influence of a single interharmonic and symmetrical sub-/super-synchronous interharmonics is derived, revealing the mechanism of fundamental frequency measurement error under interharmonic interference. Secondly, based on the oscillation behavior of frequency, a fitting model of multi-component superposition is established, and a short-time window frequency oscillation component suppression method based on Fourier transform and least squares method is proposed, which significantly reduces the fundamental frequency deviation. Finally, simulation and on-site recorded data test verify that the proposed method reduces frequency measurement errors greatly.

     

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