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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

An Adaptive Windowed Approach for Frequency Estimation in Power Systems

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DOI: 10.25236/icemit.2019.003

Author(s)

Chen Zhang, Xiang Yu, Jie Xu, Zhe Li

Corresponding Author

Chen Zhang

Abstract

A novel technique for online estimation of the fundamental frequency of power system in both the single-phase and three-phase cases is proposed. This is achieved based on the consideration of the relationship between the samples within every three consecutive sliding windows, and the use of an adaptive filter trained by the least mean square (LMS) algorithm. The evolution of the adaptive weight coefficient within the adaptive filter is used to estimate the system frequency in a recursive and robust manner. Compared with the original work which employs the Wiener filtering approach, the proposed method alleviates the drawbacks of Wiener filtering, such as sensitivity to noise and harmonics, at a cost of convergence time. Simulations in both benchmark synthetic cases and for real-world scenarios support the analysis.

Keywords

Frequency estimation, least-mean-square, three-phase power system, harmonic distortion, noisy environment