Robust Suppression Strategy for Photovoltaic Grid-Connected Inverter Cluster Resonance Based on Kalman Filter Improved Disturbance Observer

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...

Full description

Bibliographic Details
Main Authors: Guofeng He, Cheng Yan, Zichun Zhou, Junfang Lin, Guojiao Li
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/21/7942
_version_ 1797468415159435264
author Guofeng He
Cheng Yan
Zichun Zhou
Junfang Lin
Guojiao Li
author_facet Guofeng He
Cheng Yan
Zichun Zhou
Junfang Lin
Guojiao Li
author_sort Guofeng He
collection DOAJ
description 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.
first_indexed 2024-03-09T19:07:08Z
format Article
id doaj.art-1d479225785f4308a8e85b8e69abaf3e
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-03-09T19:07:08Z
publishDate 2022-10-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj.art-1d479225785f4308a8e85b8e69abaf3e2023-11-24T04:29:17ZengMDPI AGEnergies1996-10732022-10-011521794210.3390/en15217942Robust Suppression Strategy for Photovoltaic Grid-Connected Inverter Cluster Resonance Based on Kalman Filter Improved Disturbance ObserverGuofeng He0Cheng Yan1Zichun Zhou2Junfang Lin3Guojiao Li4School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, ChinaNingbo Deye Technology Co., Ltd., Ningbo 315803, ChinaSchool of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, ChinaSchool of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, ChinaSchool of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, ChinaIn 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.https://www.mdpi.com/1996-1073/15/21/7942cluster resonancedamping coefficientdisturbance observergrid-connected inverterrobustness
spellingShingle Guofeng He
Cheng Yan
Zichun Zhou
Junfang Lin
Guojiao Li
Robust Suppression Strategy for Photovoltaic Grid-Connected Inverter Cluster Resonance Based on Kalman Filter Improved Disturbance Observer
Energies
cluster resonance
damping coefficient
disturbance observer
grid-connected inverter
robustness
title Robust Suppression Strategy for Photovoltaic Grid-Connected Inverter Cluster Resonance Based on Kalman Filter Improved Disturbance Observer
title_full Robust Suppression Strategy for Photovoltaic Grid-Connected Inverter Cluster Resonance Based on Kalman Filter Improved Disturbance Observer
title_fullStr Robust Suppression Strategy for Photovoltaic Grid-Connected Inverter Cluster Resonance Based on Kalman Filter Improved Disturbance Observer
title_full_unstemmed Robust Suppression Strategy for Photovoltaic Grid-Connected Inverter Cluster Resonance Based on Kalman Filter Improved Disturbance Observer
title_short Robust Suppression Strategy for Photovoltaic Grid-Connected Inverter Cluster Resonance Based on Kalman Filter Improved Disturbance Observer
title_sort robust suppression strategy for photovoltaic grid connected inverter cluster resonance based on kalman filter improved disturbance observer
topic cluster resonance
damping coefficient
disturbance observer
grid-connected inverter
robustness
url https://www.mdpi.com/1996-1073/15/21/7942
work_keys_str_mv AT guofenghe robustsuppressionstrategyforphotovoltaicgridconnectedinverterclusterresonancebasedonkalmanfilterimproveddisturbanceobserver
AT chengyan robustsuppressionstrategyforphotovoltaicgridconnectedinverterclusterresonancebasedonkalmanfilterimproveddisturbanceobserver
AT zichunzhou robustsuppressionstrategyforphotovoltaicgridconnectedinverterclusterresonancebasedonkalmanfilterimproveddisturbanceobserver
AT junfanglin robustsuppressionstrategyforphotovoltaicgridconnectedinverterclusterresonancebasedonkalmanfilterimproveddisturbanceobserver
AT guojiaoli robustsuppressionstrategyforphotovoltaicgridconnectedinverterclusterresonancebasedonkalmanfilterimproveddisturbanceobserver