Backstepping control for electric spring system with command filtering

Aiming at the voltage fluctuation problem caused by indirectness and uncertainty in new energy power generation system, the backstepping control strategy is firstly applied in electric spring (ES) system, and an ES backstepping control strategy with command filtering is proposed. According to the ma...

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Main Authors: YANG Chengshun, HAN Tongrun, XU Dezhi, DAI Yuchen, HUANG Xiaoning
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2024-03-01
Series:电力工程技术
Subjects:
Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/230316276
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author YANG Chengshun
HAN Tongrun
XU Dezhi
DAI Yuchen
HUANG Xiaoning
author_facet YANG Chengshun
HAN Tongrun
XU Dezhi
DAI Yuchen
HUANG Xiaoning
author_sort YANG Chengshun
collection DOAJ
description Aiming at the voltage fluctuation problem caused by indirectness and uncertainty in new energy power generation system, the backstepping control strategy is firstly applied in electric spring (ES) system, and an ES backstepping control strategy with command filtering is proposed. According to the mathematical model of ES, the controller is designed by backstepping method and command filter is added to solve the computational inflation problem in ES backstepping control. Meanwhile, the error compensation signal is designed, and the stability of the system is verified by the Lyapunov stability theory. The effect of ES on critical load (CL) voltage stabilization is simulated when the grid-side voltage of the new energy power generation system fluctuates, and the sensitivity analysis of different system parameters to the control strategy is discussed in this paper. Compared with traditional proportional integral (PI) control, the dynamic response speed of CL voltage is improved by 0.07 s, while the CL voltage distortion rate is reduced by 31%. In parameter sensitivity analysis, the maximum deviation rate of CL voltage is 0.318%. Meanwhile, the maximum voltage amplitude fluctuation range that it can withstand is increased by 52.9 V. It is verified that the control strategy proposed in this paper has the advantages of fast response, low harmonic content and strong anti-interference ability.
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spelling doaj.art-9c45ea46cdc24577baebb0178f53bbfe2024-03-25T06:32:59ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032024-03-0143210511210.12158/j.2096-3203.2024.02.011230316276Backstepping control for electric spring system with command filteringYANG Chengshun0HAN Tongrun1XU Dezhi2DAI Yuchen3HUANG Xiaoning4School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaSchool of Internet of Things Engineering, Jiangnan University, Wuxi 214122, ChinaSchool of Automation, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaAiming at the voltage fluctuation problem caused by indirectness and uncertainty in new energy power generation system, the backstepping control strategy is firstly applied in electric spring (ES) system, and an ES backstepping control strategy with command filtering is proposed. According to the mathematical model of ES, the controller is designed by backstepping method and command filter is added to solve the computational inflation problem in ES backstepping control. Meanwhile, the error compensation signal is designed, and the stability of the system is verified by the Lyapunov stability theory. The effect of ES on critical load (CL) voltage stabilization is simulated when the grid-side voltage of the new energy power generation system fluctuates, and the sensitivity analysis of different system parameters to the control strategy is discussed in this paper. Compared with traditional proportional integral (PI) control, the dynamic response speed of CL voltage is improved by 0.07 s, while the CL voltage distortion rate is reduced by 31%. In parameter sensitivity analysis, the maximum deviation rate of CL voltage is 0.318%. Meanwhile, the maximum voltage amplitude fluctuation range that it can withstand is increased by 52.9 V. It is verified that the control strategy proposed in this paper has the advantages of fast response, low harmonic content and strong anti-interference ability.https://www.epet-info.com/dlgcjsen/article/abstract/230316276new energy power generation systemelectric spring (es)command filteringbackstepping controlcritical load (cl)voltage fluctuationssensitivity analysis
spellingShingle YANG Chengshun
HAN Tongrun
XU Dezhi
DAI Yuchen
HUANG Xiaoning
Backstepping control for electric spring system with command filtering
电力工程技术
new energy power generation system
electric spring (es)
command filtering
backstepping control
critical load (cl)
voltage fluctuations
sensitivity analysis
title Backstepping control for electric spring system with command filtering
title_full Backstepping control for electric spring system with command filtering
title_fullStr Backstepping control for electric spring system with command filtering
title_full_unstemmed Backstepping control for electric spring system with command filtering
title_short Backstepping control for electric spring system with command filtering
title_sort backstepping control for electric spring system with command filtering
topic new energy power generation system
electric spring (es)
command filtering
backstepping control
critical load (cl)
voltage fluctuations
sensitivity analysis
url https://www.epet-info.com/dlgcjsen/article/abstract/230316276
work_keys_str_mv AT yangchengshun backsteppingcontrolforelectricspringsystemwithcommandfiltering
AT hantongrun backsteppingcontrolforelectricspringsystemwithcommandfiltering
AT xudezhi backsteppingcontrolforelectricspringsystemwithcommandfiltering
AT daiyuchen backsteppingcontrolforelectricspringsystemwithcommandfiltering
AT huangxiaoning backsteppingcontrolforelectricspringsystemwithcommandfiltering