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Fault detection classification using innovative MFCDFT based slope tracking method for digital distance protection

机译:使用基于MFCDFT的创新坡度跟踪方法进行数字距离保护的故障检测和分类

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The critical requirements for numerical distance protection used for transmission line protection are reliable and fast phasor estimation of input signals to determine correct impedance reach. Factors influencing accurate phasor estimation are Fault Resistance (RF), Fault Type (FT), Fault Inception Angle (FIA), Fault Location (FL) and Power Flow Angle (PFA). In this paper, an innovative slope tracking method is presented which is based on Modified Full Cycle Discrete Fourier Transform (MFCDFT) and its application has been validated for distance relaying. Fault signals are simulated in PSCAD for all possible types of faults and validation is performed in MATLAB®. For transmission line protection, impedance trajectory is adaptively calculated from Ground Distance Function (GDF) using estimated values of voltages and currents. Moreover, the proposed technique calculates operating time, fault location and fault type, which are the key attributes of multi functional numerical relay. The obtained results are compared with existing methods and found precise and faster. Error in fault location estimation is achieved within 1.23% with fault classification accuracy of 100%.
机译:用于传输线保护的数字距离保护的关键要求是可靠,快速的相量估计输入信号以确定正确的阻抗范围。影响准确相量估计的因素是故障电阻(R F ),故障类型(FT),故障起始角度(FIA),故障位置(FL)和潮流角(PFA)。本文提出了一种基于改进的全周期离散傅里叶变换(MFCDFT)的新颖的坡度跟踪方法,并验证了其在距离中继中的应用。在PSCAD中针对所有可能的故障类型仿真故障信号,并在MATLAB中执行验证 ® 。对于传输线保护,使用电压和电流的估计值根据接地距离函数(GDF)自适应地计算阻抗轨迹。此外,所提出的技术可以计算出操作时间,故障位置和故障类型,这是多功能数字继电器的关键属性。将获得的结果与现有方法进行比较,发现精确而又快速。故障定位估计中的误差在1.23%以内,故障分类精度为100%。

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