A Concise Discrete Adaptive Filter for Frequency Estimation Under Distorted Three-Phase Voltage

To improve the control performance for grid-tied power converters, the fundamental frequency and harmonics of the grid voltage should be quickly and accurately estimated even under distorted voltage condition. This paper introduces a straightforward discrete adaptive filter to observe fundamental an...

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Bibliographic Details
Published in:IEEE transactions on power electronics Vol. 32; no. 12; pp. 9400 - 9412
Main Authors: Quan, Xiangjun, Dou, Xiaobo, Wu, Zaijun, Hu, Minqiang, Chen, Feng
Format: Journal Article
Language:English
Published: New York IEEE 01.12.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Adaptive filters
Algorithms
Computer simulation
Discrete filter
Distortion
Dynamic stability
Electric potential
Error analysis
Estimation
Frequency estimation
Frequency stability
Frequency variation
grid synchronization
Harmonic analysis
harmonic detection
Harmonics
Heuristic algorithms
Performance rating
Phase locked loops
Power converters
Power harmonic filters
Resonant frequencies
ISSN:0885-8993, 1941-0107
Online Access:Get full text
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Summary:To improve the control performance for grid-tied power converters, the fundamental frequency and harmonics of the grid voltage should be quickly and accurately estimated even under distorted voltage condition. This paper introduces a straightforward discrete adaptive filter to observe fundamental and harmonic sequence components of the grid voltage. The proposed filter possesses a simple and straightforward implementation. Based on the newly developed filter, frequency error transmission was analyzed when the frequency of the input voltage was unequal to the center frequency of the filter. Consequently, a frequency estimation loop was designed to adapt to the frequency variation for the filter. Compared to previous algorithms, the proposed algorithm has a better dynamic performance rating for frequency estimation, robust stability, and a simpler implementation. The effectiveness of the algorithm is verified by simulations and laboratory experiments.
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ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2017.2657641