Abstract
This paper presents an improved iterative unscented Kalman tracking algorithm to estimate dynamic phasor, establishes a model considering the change rate of power frequency and power components, dynamic phasor and other electrical parameters are estimated by adaptive IUKF algorithm, the estimate accuracy is improved. Numerical simulation shows that the effectiveness of the proposed frequency tracking algorithm as well as the adaptability of the harmonic and noise.
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Xiao, Xb., Xia, L., Wang, Lm., Wang, Yd. (2016). An Improved Dynamic Phasor Tracking Algorithm Using Iterative Unscented Kalman. In: Qi, E. (eds) Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-148-2_18
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DOI: https://doi.org/10.2991/978-94-6239-148-2_18
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Publisher Name: Atlantis Press, Paris
Print ISBN: 978-94-6239-147-5
Online ISBN: 978-94-6239-148-2
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