Frequency Containment Control of Hydropower Plants Using Different Adaptive Methods

With the growth in the share of variable renewable energy sources, fluctuations in the power generation caused by these types of power plants can diminish the stability and flexibility of the grid. These two can be enhanced by applying frequency containment using hydropower plants as an operational...

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Main Authors: Doğan Gezer, Yiğit Taşcıoğlu, Kutay Çelebioğlu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/8/2082
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author Doğan Gezer
Yiğit Taşcıoğlu
Kutay Çelebioğlu
author_facet Doğan Gezer
Yiğit Taşcıoğlu
Kutay Çelebioğlu
author_sort Doğan Gezer
collection DOAJ
description With the growth in the share of variable renewable energy sources, fluctuations in the power generation caused by these types of power plants can diminish the stability and flexibility of the grid. These two can be enhanced by applying frequency containment using hydropower plants as an operational reserve. The frequency containment in hydropower plants is automatically controlled by speed governors within seconds. Disturbances such as fluctuations in the net head and aging may diminish the performance of the controllers of the speed governors. In this study, model reference adaptive control approaches based on the Massachusetts Institute of Technology (MIT) rule and Lyapunov method were exploited in order to improve the performance of the speed governor for frequency containment control. The active power control with frequency control was enhanced by the aforementioned adaptive control methods. A mathematical model of a hydropower plant with a surge tank and medium penstock was constructed and validated through site measurements of a plant. It was shown that, as they are applicable in real life, both methods perform significantly better compared to conventional proportional-integrator control. Even in first five deviations, the performance of the conventional controller improved by 58.8% using the MIT rule and by 65.9% using the Lyapunov method. When the two adaptive control approaches were compared with each other, the MIT rule outputted better results than the Lyapunov method when the disturbance frequency was higher; however, the latter was more functional for rare disturbances.
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spelling doaj.art-e0e199023b494562a68bde7a9509aefa2023-11-21T14:46:41ZengMDPI AGEnergies1996-10732021-04-01148208210.3390/en14082082Frequency Containment Control of Hydropower Plants Using Different Adaptive MethodsDoğan Gezer0Yiğit Taşcıoğlu1Kutay Çelebioğlu2TUBITAK MRC Energy Institute, METU Campus, Ankara 06531, TurkeyDepartment of Mechanical Engineering, TED University, Ankara 06420, TurkeyTOBB University of Economics and Technology, ETU Hydro, Ankara 06560, TurkeyWith the growth in the share of variable renewable energy sources, fluctuations in the power generation caused by these types of power plants can diminish the stability and flexibility of the grid. These two can be enhanced by applying frequency containment using hydropower plants as an operational reserve. The frequency containment in hydropower plants is automatically controlled by speed governors within seconds. Disturbances such as fluctuations in the net head and aging may diminish the performance of the controllers of the speed governors. In this study, model reference adaptive control approaches based on the Massachusetts Institute of Technology (MIT) rule and Lyapunov method were exploited in order to improve the performance of the speed governor for frequency containment control. The active power control with frequency control was enhanced by the aforementioned adaptive control methods. A mathematical model of a hydropower plant with a surge tank and medium penstock was constructed and validated through site measurements of a plant. It was shown that, as they are applicable in real life, both methods perform significantly better compared to conventional proportional-integrator control. Even in first five deviations, the performance of the conventional controller improved by 58.8% using the MIT rule and by 65.9% using the Lyapunov method. When the two adaptive control approaches were compared with each other, the MIT rule outputted better results than the Lyapunov method when the disturbance frequency was higher; however, the latter was more functional for rare disturbances.https://www.mdpi.com/1996-1073/14/8/2082frequency containment controlhydropower plantLyapunov stabilityMIT rulemodel reference adaptive controlspeed governor
spellingShingle Doğan Gezer
Yiğit Taşcıoğlu
Kutay Çelebioğlu
Frequency Containment Control of Hydropower Plants Using Different Adaptive Methods
Energies
frequency containment control
hydropower plant
Lyapunov stability
MIT rule
model reference adaptive control
speed governor
title Frequency Containment Control of Hydropower Plants Using Different Adaptive Methods
title_full Frequency Containment Control of Hydropower Plants Using Different Adaptive Methods
title_fullStr Frequency Containment Control of Hydropower Plants Using Different Adaptive Methods
title_full_unstemmed Frequency Containment Control of Hydropower Plants Using Different Adaptive Methods
title_short Frequency Containment Control of Hydropower Plants Using Different Adaptive Methods
title_sort frequency containment control of hydropower plants using different adaptive methods
topic frequency containment control
hydropower plant
Lyapunov stability
MIT rule
model reference adaptive control
speed governor
url https://www.mdpi.com/1996-1073/14/8/2082
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