Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique
Abstract In this paper, an improved voltage control strategy for microgrids (MG) is proposed, using an artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined with droop control and virtual impedance techniques (VIT). The control strategy is developed to improve...
Saved in:
| Main Authors: | Sarra Adiche, Mhamed Larbi, Djilali Toumi, Riyadh Bouddou, Mohit Bajaj, Nasreddine Bouchikhi, Abdallah Belabbes, Ievgen Zaitsev |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-82193-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimizing voltage control in AC microgrid systems with fuzzy logic strategies and performance assessment
by: S. Adiche, et al.
Published: (2025-05-01) -
Hierarchical control of inverter-based microgrid with droop approach and proportional-integral controller
by: Mahmoud Hazhir
Published: (2025-01-01) -
Modeling and Simulation of Autonomous DC Microgrid with Variable Droop Controller
by: Rekha P. Nair, et al.
Published: (2025-05-01) -
A novel analysis of two parallel connected inverters for isolated DC microgrid system by using droop controller technology
by: J. Venumadhav, et al.
Published: (2025-09-01) -
Queen honey bee migration (QHBM) optimization for droop control on DC microgrid under load variation
by: Aripriharta Aripriharta, et al.
Published: (2024-07-01)