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Bad data detection algorithm for PMU based on spectral clustering
Bad data detection algorithm for PMU based on spectral clustering
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机译:基于频谱聚类的PMU数据检测算法
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摘要
A data-driven PMU bad data detection algorithm based on spectral clustering using single PMU data is described. The described algorithm does not require the system topology and parameters. First, a data identification method based on a decision tree is described to distinguish event data and bad data by using the slope feature of each set of data. Then, a bad data detection method based on spectral clustering is described. By analyzing the weighted relationships among all the data, this method can detect the bad data that has a small deviation.
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