Parameters Estimation of Electromechanical Oscillation With Incomplete Measurement Information

Effective real-time estimation of electromechanical modes of a power system is essential, since it can provide the vital stability information of the system. However, most of existing methods for parameters estimation of electromechanical oscillation are suitable for the situations with complete measurement data, which cannot take the inevitably missing data phenomenon into account. Therefore, they fail to accurately estimate the parameters of electromechanical oscillation with incomplete measurement data. To solve the aforementioned problems, based on the traditional extended Kalman filter, in this paper, by incorporating the modified innovation-based adaptive estimation method, a novel fault tolerant adaptive extended Kalman filter (FTAEKF) is developed to realize parameters estimation of electromechanical oscillation with incomplete measurement data. Finally, several simulation studies are provided to demonstrate that the proposed FTAEKF can achieve much better performance than some existing results.

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