Adaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFC

This paper investigates the robust decentralized nonlinear control of power flow in a power system using a new configuration of UPFC. This structure comprises two shunt converters and one series capacitor called as hybrid power flow controller (HPFC). A controller is designed via control Lyapunov fu...

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Main Authors: A. Mohammadpour Shotorbani, S. Ghassem Zadeh, B. Mohammadi-ivatloo, S. H. Hosseini, L. Wang
Format: Article
Language:English
Published: University of Mohaghegh Ardabili 2017-12-01
Series:Journal of Operation and Automation in Power Engineering
Subjects:
Online Access:http://joape.uma.ac.ir/article_597_a62fd740a9b3cd4c1344d016b10948ee.pdf
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author A. Mohammadpour Shotorbani
S. Ghassem Zadeh
B. Mohammadi-ivatloo
S. H. Hosseini
L. Wang
author_facet A. Mohammadpour Shotorbani
S. Ghassem Zadeh
B. Mohammadi-ivatloo
S. H. Hosseini
L. Wang
author_sort A. Mohammadpour Shotorbani
collection DOAJ
description This paper investigates the robust decentralized nonlinear control of power flow in a power system using a new configuration of UPFC. This structure comprises two shunt converters and one series capacitor called as hybrid power flow controller (HPFC). A controller is designed via control Lyapunov function (CLF) and adaptive observer to surmount the problems of stability such as tracking desired references, robustness against uncertainties, rejecting the disturbances, and remote data estimation. The suggested control scheme is decentralized using adaptive observer to estimate the non-local varying parameters of the system. Stability of the closed loop system is proved mathematically using Lyapunov stability theorem. Performance of the proposed finite-time controller (FT-C) is compared to another suggested exponentially convergent nonlinear controller (ECN-C) and a conventional PI controller (PI-C). Settling time of the state variables are diminished to a known little time by FT-C in comparison with ECN-C and PI-C. Simulation results are given to validate the proposed controllers. Effects of model uncertainties such as parameter variation in the transmission line and the converters are studied and properly compensated by the proposed controllers. The impact of the control gain and the communication time-delay is shown using the Bode diagram analysis.
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spelling doaj.art-bec42303ab3b4a938a2f0bba45e2db9f2022-12-21T17:34:17ZengUniversity of Mohaghegh ArdabiliJournal of Operation and Automation in Power Engineering2322-45762423-45672017-12-015219120310.22098/joape.2017.3007.1251597Adaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFCA. Mohammadpour Shotorbani0S. Ghassem Zadeh1B. Mohammadi-ivatloo2S. H. Hosseini3L. Wang4Department of Electrical and Computer Engineering, University of Tabriz, Tabriz,IranDepartment of Electrical and Computer Engineering, University of Tabriz, Tabriz,IranDepartment of Electrical and Computer Engineering, University of Tabriz, Tabriz,IranDepartment of Electrical and Computer Engineering, University of Tabriz, Tabriz,IranSchool of Engineering, University of British ColumbiaThis paper investigates the robust decentralized nonlinear control of power flow in a power system using a new configuration of UPFC. This structure comprises two shunt converters and one series capacitor called as hybrid power flow controller (HPFC). A controller is designed via control Lyapunov function (CLF) and adaptive observer to surmount the problems of stability such as tracking desired references, robustness against uncertainties, rejecting the disturbances, and remote data estimation. The suggested control scheme is decentralized using adaptive observer to estimate the non-local varying parameters of the system. Stability of the closed loop system is proved mathematically using Lyapunov stability theorem. Performance of the proposed finite-time controller (FT-C) is compared to another suggested exponentially convergent nonlinear controller (ECN-C) and a conventional PI controller (PI-C). Settling time of the state variables are diminished to a known little time by FT-C in comparison with ECN-C and PI-C. Simulation results are given to validate the proposed controllers. Effects of model uncertainties such as parameter variation in the transmission line and the converters are studied and properly compensated by the proposed controllers. The impact of the control gain and the communication time-delay is shown using the Bode diagram analysis.http://joape.uma.ac.ir/article_597_a62fd740a9b3cd4c1344d016b10948ee.pdfDecentralized Control Lyapunov functionflexible AC transmission systemsHybrid power flow controllernonlinear control systemsrobust control
spellingShingle A. Mohammadpour Shotorbani
S. Ghassem Zadeh
B. Mohammadi-ivatloo
S. H. Hosseini
L. Wang
Adaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFC
Journal of Operation and Automation in Power Engineering
Decentralized Control Lyapunov function
flexible AC transmission systems
Hybrid power flow controller
nonlinear control systems
robust control
title Adaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFC
title_full Adaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFC
title_fullStr Adaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFC
title_full_unstemmed Adaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFC
title_short Adaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFC
title_sort adaptive observer based decentralized scheme for robust nonlinear power flow control using hpfc
topic Decentralized Control Lyapunov function
flexible AC transmission systems
Hybrid power flow controller
nonlinear control systems
robust control
url http://joape.uma.ac.ir/article_597_a62fd740a9b3cd4c1344d016b10948ee.pdf
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AT bmohammadiivatloo adaptiveobserverbaseddecentralizedschemeforrobustnonlinearpowerflowcontrolusinghpfc
AT shhosseini adaptiveobserverbaseddecentralizedschemeforrobustnonlinearpowerflowcontrolusinghpfc
AT lwang adaptiveobserverbaseddecentralizedschemeforrobustnonlinearpowerflowcontrolusinghpfc