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首页> 外文期刊>IEEE Transactions on Power Delivery >An adaptive PMU based fault detection/location technique for transmission lines. I. Theory and algorithms
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An adaptive PMU based fault detection/location technique for transmission lines. I. Theory and algorithms

机译:基于自适应PMU的传输线故障检测/定位技术。一,理论与算法

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摘要

An adaptive fault detection/location technique based on a phasor measurement unit (PMU) for an EHV/UHV transmission line is presented. A fault detection/location index in terms of Clarke components of the synchronized voltage and current phasors is derived. The line parameter estimation algorithm is also developed to solve the uncertainty of parameters caused by aging of transmission lines. This paper also proposes a new discrete Fourier transform (DFT) based algorithm (termed the smart discrete Fourier transform, SDFT) to eliminate system noise and measurement errors such that extremely accurate fundamental frequency components can be extracted for calculation of fault detection/location index. The EMTP was used to simulate a high voltage transmission line with faults at various locations. To simulate errors involved in measurements, Gaussian-type noise has been added to the raw output data generated by EMTP. Results have shown that the new DFT based method can extract exact phasors in the presence of frequency deviation and harmonics. The parameter estimation algorithm can also trace exact parameters very well. The accuracy of both new DFT based method and parameter estimation algorithm can achieve even up to 99.999% and 99.99% respectively, and is presented in Part II. The accuracy of fault location estimation by the proposed technique can achieve even up to 99.9% in the performance evaluation, which is also presented in Part II.
机译:提出了一种基于相量测量单元(PMU)的超高压/特高压输电线路自适应故障检测/定位技术。推导了根据同步电压和电流相量的克拉克分量的故障检测/定位指标。还开发了线路参数估计算法,以解决由传输线老化引起的参数不确定性。本文还提出了一种新的基于离散傅里叶变换(DFT)的算法(称为智能离散傅里叶变换,SDFT),以消除系统噪声和测量误差,从而可以提取极其准确的基频分量,以计算故障检测/定位指标。 EMTP用于模拟高压输电线路,在各个位置都有故障。为了模拟测量中涉及的误差,已将高斯型噪声添加到EMTP生成的原始输出数据中。结果表明,基于DFT的新方法可以在存在频率偏差和谐波的情况下提取精确的相量。参数估计算法还可以很好地跟踪精确的参数。新的基于DFT的方法和参数估计算法的准确性分别可以分别达到99.999%和99.99%,这在第二部分中进行了介绍。通过所提出的技术进行故障定位估计的准确性在性能评估中甚至可以达到99.9%,这也将在第二部分中介绍。

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