基于Park变换算法的电力系统故障类型识别

S. Soliman, M. Belkhayat
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引用次数: 5

摘要

故障识别是系统保护和选择合适的继电器的必要条件,是后续故障隔离所必需的。本文采用基于Park变换的简单高效的故障识别算法实现故障识别。该算法使用两个变换矩阵。第一个矩阵用于滤除直流偏置和污染三相电压信号的谐波。第二次变换用于估计正负序列分量。零序列分量由第一个变换矩阵估计。本文给出了基于详细系统模型的结果。通过对正序、负序和零序分量的识别,可以很容易地识别故障类型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power Systems Fault Type Identification Based on Park's Transformation Algorithm
Fault identification is necessary for system protection and the selection of suitable relays, which are required for the subsequent fault isolation. In this paper, fault identification is achieved using a simple and numerically efficient algorithm based on Park's transformations. The algorithm uses two transformation matrices. The first matrix is used to filter out the dc offset and harmonics that contaminate the three-phase voltage signal. The second transformation is used to estimate the positive and negative sequence components. The zero sequence components are estimated from the first transformation matrix. Results based on detailed system models are presented in the paper. Having identified the positive sequence, negative sequence and zero sequence components, the fault type can easily be identified
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