DOAJ Open Access 2024

A new robust dynamic state estimation approach for power systems with non-Gaussian noise

Tengpeng Chen Fangyan Liu Hongxuan Luo Eddy Y.S. Foo Lu Sun +2 lainnya

Abstrak

The Gaussian noise distribution is typically used in dynamic state estimation (DSE) but it is not always true in practice because of abnormal system inputs, impulsive noise and measurement outliers. In this paper, a new robust DSE approach based on a new robust Lp norm based estimator and the cubature Kalman filter (CKF) is developed for power systems with non-Gaussian noise statistics. The Lp norm based estimator is derived from the Lp norm formula and the quadratic formula in order to alleviate the impacts from bad data and outliers. The proposed Lp-CKF DSE approach exhibits good accuracy because a new estimation error covariance is obtained by using the influence function. The robustness of the proposed Lp-CKF DSE approach is verified by performing simulations on a generator in the IEEE 39-bus system.

Topik & Kata Kunci

Production of electric energy or power. Powerplants. Central stations

Penulis (7)

Tengpeng Chen

Fangyan Liu

Hongxuan Luo

Eddy Y.S. Foo

Lu Sun

Yuhao Sun

Hoay Beng Gooi

Format Sitasi

APA MLA BibTeX

Chen, T., Liu, F., Luo, H., Foo, E.Y., Sun, L., Sun, Y. et al. (2024). A new robust dynamic state estimation approach for power systems with non-Gaussian noise. https://doi.org/10.1016/j.ijepes.2024.109948

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1016/j.ijepes.2024.109948
Akses: Open Access ✓