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Driver Training Based Optimized Fractional Order PI-PDF Controller for Frequency Stabilization of Diverse Hybrid Power System

Электронный научный архив УРФУ

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Заглавие Driver Training Based Optimized Fractional Order PI-PDF Controller for Frequency Stabilization of Diverse Hybrid Power System
 
Автор Zhang, G.
Daraz, A.
Khan, I. A.
Basit, A.
Khan, M. I.
Ullah, M.
 
Тематика DRIVER TRAINING-BASED OPTIMIZATION
FRACTIONAL ORDER CONTROLLER
HEURISTIC TECHNIQUES
LOAD FREQUENCY CONTROL
OPTIMIZATION TECHNIQUES
POWER SYSTEM
RENEWABLE ENERGY RESOURCES
 
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.”
 
Дата 2024-04-05T16:20:12Z
2024-04-05T16:20:12Z
2023
 
Тип Article
Journal article (info:eu-repo/semantics/article)
|info:eu-repo/semantics/publishedVersion
 
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
 
Язык en
 
Права Open access (info:eu-repo/semantics/openAccess)
cc-by
https://creativecommons.org/licenses/by/4.0/
 
Формат application/pdf
 
Издатель MDPI
 
Источник Fractal and Fractional
Fractal and Fractional