Coherency detection of generators using recurrence quantification analysis

Arefi Mahmoodreza; Chowdhury Badrul

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Coherency detection of generators using recurrence quantification analysis

机译：使用递归量化分析的发电机相干检测

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摘要

A novel model-free method for detecting coherency of generators in power systems by means of the Wavelet Packet Decomposition (WPD) and the Recurrence Quantification Analysis (RQA) is developed. The time-series rotor angles of generators are used in this approach to detect coherent group of generators. Noise is a critical issue that needs to be considered when evaluating the performance of the coherency detection methods based on monitored data. Coherent groups of generators are detected under different disturbances and the results appear to be robust in the presence of noise. Simulation data from a 29-machine 179-bus system model are applied and results based on this method presented.

机译：提出了一种利用小波包分解（WPD）和递归量化分析（RQA）检测电力系统发电机相干性的新型无模型方法。发电机的时序转子角在这种方法中用于检测发电机的相干组。在基于监视数据评估相干检测方法的性能时，噪声是一个至关重要的问题。在不同的干扰下检测到发电机的相干组，并且在存在噪声的情况下，结果似乎很可靠。应用来自29机179总线系统模型的仿真数据，并基于此方法给出结果。

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来源
《Electric power systems research》 |2019年第4期|162-173|共12页
作者
Arefi Mahmoodreza; Chowdhury Badrul;
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作者单位

Univ N Carolina, Dept Elect & Comp Engn, Charlotte, NC 28223 USA;

Univ N Carolina, Dept Elect & Comp Engn, Charlotte, NC 28223 USA;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Generator coherency; Phasor measurement-unit; Recurrence quantification analysis; Wavelet packet decomposition; Power system stability;

机译：发电机相干;相量测量单元;递归量化分析;小波包分解;电力系统稳定性;

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Coherency detection of generators using recurrence quantification analysis

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