Szczegóły publikacji
Opis bibliograficzny
Adaptive fractional-order sliding mode control for robust frequency regulation in islanded renewable microgrids / Qing Han, Mohammadreza Askari Sepestanaki, Saleh Mobayen, Van Tinh Nguyen, Paweł SKRUCH // International Journal of Electrical Power & Energy Systems ; ISSN 0142-0615 . — 2026 — vol. 176 art. no. 111702, s. 1–15. — Bibliogr. s. 15, Abstr. — Publikacja dostępna online od: 2026-02-18
Autorzy (5)
- Han Qing
- Askari Sepestanaki Mohammadreza
- Mobayen Saleh
- Nguyen Van Tinh
- AGHSkruch Paweł
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 166405 |
|---|---|
| Data dodania do BaDAP | 2026-03-16 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.ijepes.2026.111702 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | International Journal of Electrical Power & Energy Systems |
Abstract
Frequency regulation in islanded microgrids with high penetration of renewable energy sources is challenging due to low inertia, stochastic generation, and uncertainties associated with inverter-based resources. Conventional controller methods often exhibit limited robustness, excessive chattering, or conservative tuning under such conditions. This paper investigates how robust and smooth frequency stabilization can be achieved in islanded renewable microgrids while explicitly accounting for memory effects and time-varying disturbances. An adaptive finite-time fractional-order sliding mode control strategy is proposed for microgrid frequency regulation. A fractional-order switching surface is designed to capture memory and multi-time-scale dynamics, ensuring finite-time convergence of frequency deviations. An online adaptive law dynamically estimates unknown disturbance bounds, effectively reducing chattering without requiring large switching gains. Moreover, an offline genetic algorithm is employed to optimize the initial controller parameters and enhance transient performance. The main novelty of this work lies in the unified integration of fractional-order dynamics, finite-time sliding mode control, adaptive disturbance estimation, and evolutionary optimization within a single control framework. Extensive MATLAB/Simulink simulations and hardware-in-the-loop experiments validate the proposed approach. Comparative results demonstrate noticeable reductions in frequency overshoot and undershoot, over 80% chattering suppression compared with conventional and existing fractional-order controllers, and improved control smoothness with competitive stabilization times. These results confirm the effectiveness and practical feasibility of the proposed strategy for reliable operation of islanded renewable microgrids under severe disturbances.
