LAPSE:2023.8253
Published Article
LAPSE:2023.8253
Robust Suppression Strategy for Photovoltaic Grid-Connected Inverter Cluster Resonance Based on Kalman Filter Improved Disturbance Observer
Guofeng He, Cheng Yan, Zichun Zhou, Junfang Lin, Guojiao Li
February 24, 2023
Abstract
In response to the key engineering problems of photovoltaic grid-connected inverter cluster resonance suppression affected by grid-connected inverter impedance, in this paper, a control strategy based on a disturbance observer is proposed to dynamically compensate for the damping coefficient of the controlled system and improve the robustness of the system. First, an engineering mathematical model of a 200 MW photovoltaic inverter cluster is established, and the mechanism of the active damping of the cluster inverter influenced by the disturbance is analyzed. Secondly, the capacitor current feedback is utilized to constitute the virtual damping, and the inverter output impedance is reshaped to suppress the resonance peak. Then, a Kalman filter is used to improve the traditional disturbance observer to accurately detect disturbance of the system during the dynamic process of the cluster inverter so as to better adapt to changes in grid impedance and dynamically compensate for the virtual damping of the cluster resonant system. Finally, the proposed control strategy is verified with respect to a practical PV power station. The experimental results demonstrate the feasibility of the proposed control method.
Keywords
cluster resonance, damping coefficient, disturbance observer, grid-connected inverter, robustness
Suggested Citation
He G, Yan C, Zhou Z, Lin J, Li G. Robust Suppression Strategy for Photovoltaic Grid-Connected Inverter Cluster Resonance Based on Kalman Filter Improved Disturbance Observer. (2023). LAPSE:2023.8253
Author Affiliations
He G: School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China; College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Yan C: Ningbo Deye Technology Co., Ltd., Ningbo 315803, China
Zhou Z: School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China; College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Lin J: School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China; College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Li G: School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China; College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Journal Name
Energies
Volume
15
Issue
21
First Page
7942
Year
2022
Publication Date
2022-10-26
ISSN
1996-1073
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Original Submission
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PII: en15217942, Publication Type: Journal Article
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LAPSE:2023.8253
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https://doi.org/10.3390/en15217942
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