Adaptive Control of a Hybrid Microgrid With Energy Storage System
The growing integration of Renewable Energy Resources (RER) and Energy Storage Systems (ESSs) into Hybrid Microgrids (HμGs) downsizes the system inertia that reduces the system ability to maintain the frequency and voltage within the standard levels. To tackle this challenge and enhance t...
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IEEE
2025-01-01
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Series: | IEEE Open Journal of Power Electronics |
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Online Access: | https://ieeexplore.ieee.org/document/10833776/ |
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author | Mohamed Ahmed Ebrahim Mohamed Ali M. El-Rifaie Bassant Ahmed Bahr H. E. Keshta Mahmoud N. Ali M. M. R. Ahmed |
author_facet | Mohamed Ahmed Ebrahim Mohamed Ali M. El-Rifaie Bassant Ahmed Bahr H. E. Keshta Mahmoud N. Ali M. M. R. Ahmed |
author_sort | Mohamed Ahmed Ebrahim Mohamed |
collection | DOAJ |
description | The growing integration of Renewable Energy Resources (RER) and Energy Storage Systems (ESSs) into Hybrid Microgrids (HμGs) downsizes the system inertia that reduces the system ability to maintain the frequency and voltage within the standard levels. To tackle this challenge and enhance the dynamic response of HμGs, PID based model reference adaptive control (MRAC), for the synchronous generator (SG) is applied in this paper. Also, the effect of ESSs on enhancing the system dynamic performance is investigated. The emergence of super capacitor (SC) is suggested to emulate the dynamic inertia response. The SG's adaptive control enables immediate modifications to optimize HμGs frequency, while the rapid response of ESSs stabilizes and supports power generation variations to operate HμGs steadily and overcome the problem of interruptions between load and supply. These combined technologies work together to enhance the dynamic stability of the proposed two-area HμGs system during standalone operation. Advanced metaheuristic optimization techniques are utilized to determine the optimal gains for SC and battery controllers, as well as for MRAC of SG. The obtained results prove the efficacy of the super capacitor and the proposed adaptive control strategy in improving the frequency of HμGs during standalone operation. |
format | Article |
id | doaj-art-91c87bd400e446438f556c6c1c7d7553 |
institution | Kabale University |
issn | 2644-1314 |
language | English |
publishDate | 2025-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Open Journal of Power Electronics |
spelling | doaj-art-91c87bd400e446438f556c6c1c7d75532025-01-28T00:02:13ZengIEEEIEEE Open Journal of Power Electronics2644-13142025-01-01619621110.1109/OJPEL.2025.352692910833776Adaptive Control of a Hybrid Microgrid With Energy Storage SystemMohamed Ahmed Ebrahim Mohamed0https://orcid.org/0000-0001-8100-5206Ali M. El-Rifaie1https://orcid.org/0000-0003-1220-0053Bassant Ahmed Bahr2H. E. Keshta3Mahmoud N. Ali4https://orcid.org/0000-0001-9860-6550M. M. R. Ahmed5https://orcid.org/0000-0002-2066-4256Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, EgyptCollege of Engineering and Technology, American University of the Middle East, Egaila, KuwaitInstitute of Aviation Engineering and Technology, Giza, EgyptElectrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, EgyptElectrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, EgyptDepartment of Electrical Technology Faculty of Technology and Education, Helwan University, EgyptThe growing integration of Renewable Energy Resources (RER) and Energy Storage Systems (ESSs) into Hybrid Microgrids (HμGs) downsizes the system inertia that reduces the system ability to maintain the frequency and voltage within the standard levels. To tackle this challenge and enhance the dynamic response of HμGs, PID based model reference adaptive control (MRAC), for the synchronous generator (SG) is applied in this paper. Also, the effect of ESSs on enhancing the system dynamic performance is investigated. The emergence of super capacitor (SC) is suggested to emulate the dynamic inertia response. The SG's adaptive control enables immediate modifications to optimize HμGs frequency, while the rapid response of ESSs stabilizes and supports power generation variations to operate HμGs steadily and overcome the problem of interruptions between load and supply. These combined technologies work together to enhance the dynamic stability of the proposed two-area HμGs system during standalone operation. Advanced metaheuristic optimization techniques are utilized to determine the optimal gains for SC and battery controllers, as well as for MRAC of SG. The obtained results prove the efficacy of the super capacitor and the proposed adaptive control strategy in improving the frequency of HμGs during standalone operation.https://ieeexplore.ieee.org/document/10833776/Adaptive controlenergy storage systemhybrid microgridmetaheuristic optimization techniquesrenewable energy resources |
spellingShingle | Mohamed Ahmed Ebrahim Mohamed Ali M. El-Rifaie Bassant Ahmed Bahr H. E. Keshta Mahmoud N. Ali M. M. R. Ahmed Adaptive Control of a Hybrid Microgrid With Energy Storage System IEEE Open Journal of Power Electronics Adaptive control energy storage system hybrid microgrid metaheuristic optimization techniques renewable energy resources |
title | Adaptive Control of a Hybrid Microgrid With Energy Storage System |
title_full | Adaptive Control of a Hybrid Microgrid With Energy Storage System |
title_fullStr | Adaptive Control of a Hybrid Microgrid With Energy Storage System |
title_full_unstemmed | Adaptive Control of a Hybrid Microgrid With Energy Storage System |
title_short | Adaptive Control of a Hybrid Microgrid With Energy Storage System |
title_sort | adaptive control of a hybrid microgrid with energy storage system |
topic | Adaptive control energy storage system hybrid microgrid metaheuristic optimization techniques renewable energy resources |
url | https://ieeexplore.ieee.org/document/10833776/ |
work_keys_str_mv | AT mohamedahmedebrahimmohamed adaptivecontrolofahybridmicrogridwithenergystoragesystem AT alimelrifaie adaptivecontrolofahybridmicrogridwithenergystoragesystem AT bassantahmedbahr adaptivecontrolofahybridmicrogridwithenergystoragesystem AT hekeshta adaptivecontrolofahybridmicrogridwithenergystoragesystem AT mahmoudnali adaptivecontrolofahybridmicrogridwithenergystoragesystem AT mmrahmed adaptivecontrolofahybridmicrogridwithenergystoragesystem |