LAPSE:2023.17243
Published Article

LAPSE:2023.17243
Adaptive Tracking Method of Distorted Voltage Using IMM Algorithm under Grid Frequency Fluctuation Conditions
March 6, 2023
Abstract
This paper newly proposes an interactive multiple model (IMM) algorithm to adaptively track distorted AC voltage with the grid frequency fluctuation. The usual tracking methods are Kalman filter (KF) algorithm with a fixed frequency and KF algorithm with frequency identifier. The KF algorithm with a fixed frequency has a larger covariance parameter to guarantee the tracking robustness. However, it has a large tracking error. The KF algorithm with frequency identifier overly depends on the accuracy and stability of frequency identifier. The advantage of the proposed method is that it is decoupled from frequency detection and does not depend on frequency detection accuracy. First, the orthogonal vector dynamic (OVD) tracking model of the sine wave is established. Then, a model set covering the grid frequency fluctuation range is formed, and a new OVD-IMM tracking algorithm is proposed in combination with IMM algorithm. In the end, the effectiveness and accuracy of the proposed OVD-IMM algorithm are verified through simulations and experiments.
This paper newly proposes an interactive multiple model (IMM) algorithm to adaptively track distorted AC voltage with the grid frequency fluctuation. The usual tracking methods are Kalman filter (KF) algorithm with a fixed frequency and KF algorithm with frequency identifier. The KF algorithm with a fixed frequency has a larger covariance parameter to guarantee the tracking robustness. However, it has a large tracking error. The KF algorithm with frequency identifier overly depends on the accuracy and stability of frequency identifier. The advantage of the proposed method is that it is decoupled from frequency detection and does not depend on frequency detection accuracy. First, the orthogonal vector dynamic (OVD) tracking model of the sine wave is established. Then, a model set covering the grid frequency fluctuation range is formed, and a new OVD-IMM tracking algorithm is proposed in combination with IMM algorithm. In the end, the effectiveness and accuracy of the proposed OVD-IMM algorithm are verified through simulations and experiments.
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Keywords
distorted voltage, dynamic tracking model, frequency fluctuation, interacting multiple model algorithm, Kalman filter
Subject
Suggested Citation
Nie H, Nie X. Adaptive Tracking Method of Distorted Voltage Using IMM Algorithm under Grid Frequency Fluctuation Conditions. (2023). LAPSE:2023.17243
Author Affiliations
Nie H: School of Economics and Management, Nanchang University, Nanchang 330031, China; I.H. Asper School of Business, University of Manitoba, Winnipeg, MB R3T 5V4, Canada
Nie X: Department of Energy and Electrical Engineering, Nanchang University, Nanchang 330031, China [ORCID]
Nie X: Department of Energy and Electrical Engineering, Nanchang University, Nanchang 330031, China [ORCID]
Journal Name
Energies
Volume
14
Issue
23
First Page
7944
Year
2021
Publication Date
2021-11-26
ISSN
1996-1073
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Original Submission
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PII: en14237944, Publication Type: Journal Article
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LAPSE:2023.17243
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https://doi.org/10.3390/en14237944
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[v1] (Original Submission)
Mar 6, 2023
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Mar 6, 2023
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