区域间功率振荡识别使用同步的环境和环衰数据

H. Ali
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引用次数: 3

摘要

本文提出了基于同步PMU数据的区域间功率振荡辨识方法。在铃响和环境条件下进行识别。采用proony分析方法来识别环衰时的模态。同时,改进的Yule-Walker (MYW)在环境条件下部署。为了验证识别结果,将其与模态分析结果进行了比较。采用基准双区测试系统演示了识别过程。计算结果与模态分析结果接近。因此,这两种算法都有希望用于区域间功率振荡的在线监测。
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Inter-area power oscillation identification using synchronized ambient and ringdown data
This paper presents inter-area power oscillation identification based on the synchronized PMU data. The identification is carried out during both ringdown and ambient condition. Prony analysis is used to identify the mode during ring-down condition. While, modified Yule-Walker (MYW) is deployed during ambient condition. To verify the result of identification, it is compared to modal analysis result. The benchmark two-area test system is used to demonstrated the identification process. The result shows that it is close to result from modal analysis. Thus, it indicates that both algorithms are promising for online monitoring of inter-area power oscillation.
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