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Browsing by Author "Sun, Bo"

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    Anomaly Detection in Data-Driven Coherency Identification Using Cumulant Tensor
    Sun, Bo; Xu, Yijun; Wang, Qinling; Lu, Shuai; Yu, Ruizhi; Gu, Wei; Mili, Lamine M. (IEEE, 2023-12-04)
    As a model reduction tool, coherency identification has been extensively investigated by power researchers using various model-driven and data-driven approaches. Model-driven approaches typically lose their accuracy due to linear assumptions and parameter uncertainties, while data-driven approaches inevitably suffer from bad data issues. To overcome these weaknesses, we propose a data-driven cumulant tensor-based approach that can identify coherent generators and detect anomalies simultaneously. More specifically, it converts the angular velocities of generators into a fourth-order cumulant tensor that can be decomposed to reflect the coherent generators. Also, using co-kurtosis in the cumulant tensor, anomalies can be detected as well. The simulations reveal its excellent performance.