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• W2894954830 abstract "Summary It is well known that measurements from phasor measurement unit (PMU) or supervisory control and data acquisition (SCADA) are not generally independent. Since the correlation of measurement error is a very representative feature of the actual measurement system, traditional assumptions on error independency are not adequate. In this paper, taking the correlation of measurement error of both PMU and SCADA measurements into consideration, a novel correlated extended Kalman filter (CEKF) is proposed. The actual measurement configurations are analyzed with the consideration of measurement error transfer characteristics. Then, the modified measurement error covariance matrix is calculated by using the point estimation method, which will replace the traditional diagonal variance matrix. At last, IEEE 14‐bus system and 57‐bus system are provided to illustrate the effectiveness and superiority of the method, respectively." @default.
• W2894954830 created "2018-10-12" @default.
• W2894954830 creator A5020598976 @default.
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• W2894954830 date "2018-10-03" @default.
• W2894954830 modified "2023-09-23" @default.
• W2894954830 title "Power system dynamic state estimation considering correlation of measurement error from PMU and SCADA" @default.
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• W2894954830 doi "https://doi.org/10.1002/cpe.4726" @default.
• W2894954830 hasPublicationYear "2018" @default.
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