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A New Digital Filter for Identification of Symmetrical Components in Power System

机译：一种用于电力系统对称分量识别的新型数字滤波器

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摘要

This article presents a novel algorithm for identifying and measuring the symmetrical components of three phase voltage or current waveforms in electrical power systems. The problem is formulated as an estimation problem and presented in state space form. A particle swarm optimization (PSO) is employed to minimize the error associated with the estimated parameters. The proposed algorithm is used to estimate the positive, negative and zero components of unsymmetrical waveforms. Application of the proposed algorithm has been conducted on various test cases, among which a practical simulated power system has been implemented in Simulink using its power system block set. Various abnormal scenarios were carried out (such as line to ground, line to line to ground, as well as unbalanced load) in order to create realistic situation of unsymmetrical waveforms. Different factors affecting the identification process, such as data window size, sampling frequency, and the number of samples, are studied. Effects of bad data on the solution accuracy are also considered. Results obtained show that the proposed technique efficiently estimates the symmetrical components of three phase unbalance voltage or current waveforms.
机译：本文提出了一种新颖的算法，用于识别和测量电力系统中三相电压或电流波形的对称分量。该问题被公式化为估计问题，并以状态空间形式表示。采用粒子群优化（PSO）来最小化与估计参数相关的误差。该算法用于估计非对称波形的正，负和零分量。所提出算法的应用已经在各种测试案例中进行了应用，其中，在Simulink中使用其电源模块组实现了一个实用的模拟电源系统。为了创建不对称波形的实际情况，执行了各种异常情况（例如线对地，线对线对地以及不平衡负载）。研究了影响识别过程的不同因素，例如数据窗口大小，采样频率和样本数量。还考虑了不良数据对求解精度的影响。获得的结果表明，所提出的技术有效地估计了三相不平衡电压或电流波形的对称分量。

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