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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MDPI AG
2021-04-01
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Series: | Energies |
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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. |
first_indexed | 2024-03-10T12:29:23Z |
format | Article |
id | doaj.art-e0e199023b494562a68bde7a9509aefa |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T12:29:23Z |
publishDate | 2021-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
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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