DOE OSTI · 1899977
A General Decentralized Dynamic State Estimation With Synchronous Generator Magnetic Saturation
Abstract
We report the saturation of the nonlinear magnetic circuit of synchronous generators is often neglected when performing Kalman filter-based dynamic state estimation (DSE), yielding significant estimation bias. This letter addresses this problem and proposes a generalized DSE framework to handle magnetic saturation. Moreover, this letter derives a state initialization procedure that improves the Kalman filter tracking speed. The framework is flexible in dealing with different saturation functions and generator models. Numerical results on the Texas 2000-bus system verify the effectiveness of the proposed method.
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Tan, Bendong, Zhao, Junbo, Netto, Marcos. 2022-10-21. A General Decentralized Dynamic State Estimation With Synchronous Generator Magnetic Saturation. https://doi.org/10.1109/tpwrs.2022.3216503
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