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 and Guojiao Li
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Guofeng He: School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China
Cheng Yan: Ningbo Deye Technology Co., Ltd., Ningbo 315803, China
Zichun Zhou: School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China
Junfang Lin: School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China
Guojiao Li: School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China

Energies, 2022, vol. 15, issue 21, 1-17

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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