Performance up gradation of static VAR compensator with thyristor binary switched capacitor and reactor using model reference adaptive controller

There are various static var compensator configurations are available and listed in the literature. Their performances are evaluated based on their voltage support, dynamic response, losses, cost, and additional filter requirement, if any. In this paper, efforts are made to improve the dynamic perfo...

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Autores principales: Swapnil D. Patil, Renuka A. Kachare, Anwar M. Mulla, Dadgonda R. Patil
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Publicado: Taylor & Francis Group 2022
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Acceso en línea:https://doaj.org/article/ff1055c60b374cafb23a96694f105517
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spelling oai:doaj.org-article:ff1055c60b374cafb23a96694f1055172021-12-01T14:40:58ZPerformance up gradation of static VAR compensator with thyristor binary switched capacitor and reactor using model reference adaptive controller0005-11441848-338010.1080/00051144.2021.1999704https://doaj.org/article/ff1055c60b374cafb23a96694f1055172022-01-01T00:00:00Zhttp://dx.doi.org/10.1080/00051144.2021.1999704https://doaj.org/toc/0005-1144https://doaj.org/toc/1848-3380There are various static var compensator configurations are available and listed in the literature. Their performances are evaluated based on their voltage support, dynamic response, losses, cost, and additional filter requirement, if any. In this paper, efforts are made to improve the dynamic performance parameter such as rise time, settling time, and peak overshoots. A new topology with an adaptive controller is presented, in which capacitor and reactor banks are divided in their binary values and connected in the shunt. Capacitor and reactor banks are operated by thyristorised switches. Both these banks are operated in closed-loop form as a cascade control. Amongst these, capacitor bank operates as coarse control, and reactor bank acts as fine control. For the performance enhancement, a model reference adaptive controller is used. The system identification toolbox is used to evaluate the mathematical model of the plant with Matlab. The model's performance was analyzed deeply by the adaptive controller with different reference models such as critical, under, and overdamped. The performance parameters such as rise time, settling time, and peak overshoot in the form of reactive power swings, are evaluated and plotted for different adaptive gains using MIT rules. Abbreviations: $ {\textrm{m}_\textrm{p}} $ : Peak overshoot; $ {\textrm{Q}_\textrm{C}} $ : Reactive power of capacitor; $ {\textrm{Q}_\textrm{L}} $ : Reactive power of inductor; $ {\textrm{Q}_{\textrm{TBSC}}} $ : Reactive power of TBSC bank; $ {\textrm{Q}_{\textrm{TBSR}}} $ : Reactive power of TBSR bank; $ {\textrm{t}_\textrm{r}} $ : Rise time; $ {\textrm{t}_\textrm{s}} $ : Settling time; e: Error; Gc(s): Transfer function of TBSC plant; Gl(s): Transfer function of Disturbance plant; Gr(s): Transfer function of TBSR plant; SVC: Static VAR Compensator; t:time; TBSC: Thyristor binary switched capacitor; TBSR: Thyristor binary switched reactor; TSC: Thyristor switched capacitor; TSR: Thyristor switched reactor; u(t): System input; v(t): System disturbance; y(t): System output; Ym: Reference model output; Yp: Plant output; γ: Adaptive gain; θ: ThetaSwapnil D. PatilRenuka A. KachareAnwar M. MullaDadgonda R. PatilTaylor & Francis Grouparticlebinary switched capacitor and reactorreactive powermodel reference adaptive controllerperformance parametersystem identificationControl engineering systems. Automatic machinery (General)TJ212-225AutomationT59.5ENAutomatika, Vol 63, Iss 1, Pp 26-48 (2022)
institution DOAJ
collection DOAJ
language EN
topic binary switched capacitor and reactor
reactive power
model reference adaptive controller
performance parameter
system identification
Control engineering systems. Automatic machinery (General)
TJ212-225
Automation
T59.5
spellingShingle binary switched capacitor and reactor
reactive power
model reference adaptive controller
performance parameter
system identification
Control engineering systems. Automatic machinery (General)
TJ212-225
Automation
T59.5
Swapnil D. Patil
Renuka A. Kachare
Anwar M. Mulla
Dadgonda R. Patil
Performance up gradation of static VAR compensator with thyristor binary switched capacitor and reactor using model reference adaptive controller
description There are various static var compensator configurations are available and listed in the literature. Their performances are evaluated based on their voltage support, dynamic response, losses, cost, and additional filter requirement, if any. In this paper, efforts are made to improve the dynamic performance parameter such as rise time, settling time, and peak overshoots. A new topology with an adaptive controller is presented, in which capacitor and reactor banks are divided in their binary values and connected in the shunt. Capacitor and reactor banks are operated by thyristorised switches. Both these banks are operated in closed-loop form as a cascade control. Amongst these, capacitor bank operates as coarse control, and reactor bank acts as fine control. For the performance enhancement, a model reference adaptive controller is used. The system identification toolbox is used to evaluate the mathematical model of the plant with Matlab. The model's performance was analyzed deeply by the adaptive controller with different reference models such as critical, under, and overdamped. The performance parameters such as rise time, settling time, and peak overshoot in the form of reactive power swings, are evaluated and plotted for different adaptive gains using MIT rules. Abbreviations: $ {\textrm{m}_\textrm{p}} $ : Peak overshoot; $ {\textrm{Q}_\textrm{C}} $ : Reactive power of capacitor; $ {\textrm{Q}_\textrm{L}} $ : Reactive power of inductor; $ {\textrm{Q}_{\textrm{TBSC}}} $ : Reactive power of TBSC bank; $ {\textrm{Q}_{\textrm{TBSR}}} $ : Reactive power of TBSR bank; $ {\textrm{t}_\textrm{r}} $ : Rise time; $ {\textrm{t}_\textrm{s}} $ : Settling time; e: Error; Gc(s): Transfer function of TBSC plant; Gl(s): Transfer function of Disturbance plant; Gr(s): Transfer function of TBSR plant; SVC: Static VAR Compensator; t:time; TBSC: Thyristor binary switched capacitor; TBSR: Thyristor binary switched reactor; TSC: Thyristor switched capacitor; TSR: Thyristor switched reactor; u(t): System input; v(t): System disturbance; y(t): System output; Ym: Reference model output; Yp: Plant output; γ: Adaptive gain; θ: Theta
format article
author Swapnil D. Patil
Renuka A. Kachare
Anwar M. Mulla
Dadgonda R. Patil
author_facet Swapnil D. Patil
Renuka A. Kachare
Anwar M. Mulla
Dadgonda R. Patil
author_sort Swapnil D. Patil
title Performance up gradation of static VAR compensator with thyristor binary switched capacitor and reactor using model reference adaptive controller
title_short Performance up gradation of static VAR compensator with thyristor binary switched capacitor and reactor using model reference adaptive controller
title_full Performance up gradation of static VAR compensator with thyristor binary switched capacitor and reactor using model reference adaptive controller
title_fullStr Performance up gradation of static VAR compensator with thyristor binary switched capacitor and reactor using model reference adaptive controller
title_full_unstemmed Performance up gradation of static VAR compensator with thyristor binary switched capacitor and reactor using model reference adaptive controller
title_sort performance up gradation of static var compensator with thyristor binary switched capacitor and reactor using model reference adaptive controller
publisher Taylor & Francis Group
publishDate 2022
url https://doaj.org/article/ff1055c60b374cafb23a96694f105517
work_keys_str_mv AT swapnildpatil performanceupgradationofstaticvarcompensatorwiththyristorbinaryswitchedcapacitorandreactorusingmodelreferenceadaptivecontroller
AT renukaakachare performanceupgradationofstaticvarcompensatorwiththyristorbinaryswitchedcapacitorandreactorusingmodelreferenceadaptivecontroller
AT anwarmmulla performanceupgradationofstaticvarcompensatorwiththyristorbinaryswitchedcapacitorandreactorusingmodelreferenceadaptivecontroller
AT dadgondarpatil performanceupgradationofstaticvarcompensatorwiththyristorbinaryswitchedcapacitorandreactorusingmodelreferenceadaptivecontroller
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