Driver Training Based Optimized Fractional Order PI-PDF Controller for Frequency Stabilization of Diverse Hybrid Power System
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригиналаПоле | Значение | |
Заглавие |
Driver Training Based Optimized Fractional Order PI-PDF Controller for Frequency Stabilization of Diverse Hybrid Power System
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Автор |
Zhang, G.
Daraz, A. Khan, I. A. Basit, A. Khan, M. I. Ullah, M. |
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Тематика |
DRIVER TRAINING-BASED OPTIMIZATION
FRACTIONAL ORDER CONTROLLER HEURISTIC TECHNIQUES LOAD FREQUENCY CONTROL OPTIMIZATION TECHNIQUES POWER SYSTEM RENEWABLE ENERGY RESOURCES |
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Описание |
This work provides an enhanced novel cascaded controller-based frequency stabilization of a two-region interconnected power system incorporating electric vehicles. The proposed controller combines a cascade structure comprising a fractional-order proportional integrator and a proportional derivative with a filter term to handle the frequency regulation challenges of a hybrid power system integrated with renewable energy sources. Driver training-based optimization, an advanced stochastic meta-heuristic method based on human learning, is employed to optimize the gains of the proposed cascaded controller. The performance of the proposed novel controller was compared to that of other control methods. In addition, the results of driver training-based optimization are compared to those of other recent meta-heuristic algorithms, such as the imperialist competitive algorithm and jellyfish swarm optimization. The suggested controller and design technique have been evaluated and validated under a variety of loading circumstances and scenarios, as well as their resistance to power system parameter uncertainties. The results indicate the new controller’s steady operation and frequency regulation capability with an optimal controller coefficient and without the prerequisite for a complex layout procedure. © 2023 by the authors.
20100859001 This work is supported by the “Young Talent Sub-project of Ningbo Yongjiang Talent Introduction Programme under grant no. 20100859001.” |
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Дата |
2024-04-05T16:20:12Z
2024-04-05T16:20:12Z 2023 |
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Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
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Идентификатор |
Zhang, G, Daraz, A, Khan, IA, Basit, A, Khan, MI & Ullah, M 2023, 'Driver Training Based Optimized Fractional Order PI-PDF Controller for Frequency Stabilization of Diverse Hybrid Power System', Fractal and Fractional, Том. 7, № 4, 315. https://doi.org/10.3390/fractalfract7040315
Zhang, G., Daraz, A., Khan, I. A., Basit, A., Khan, M. I., & Ullah, M. (2023). Driver Training Based Optimized Fractional Order PI-PDF Controller for Frequency Stabilization of Diverse Hybrid Power System. Fractal and Fractional, 7(4), [315]. https://doi.org/10.3390/fractalfract7040315 2504-3110 Final All Open Access, Gold https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153786574&doi=10.3390%2ffractalfract7040315&partnerID=40&md5=3749ce9bae03fa39a985b890b8f01437 https://www.mdpi.com/2504-3110/7/4/315/pdf?version=1681883906 http://elar.urfu.ru/handle/10995/130420 10.3390/fractalfract7040315 85153786574 000978202300001 |
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Язык |
en
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Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
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Формат |
application/pdf
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Издатель |
MDPI
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Источник |
Fractal and Fractional
Fractal and Fractional |
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