A Novel Control Methodology Based on the Combination of TIDF and PID μ D Controllers Enhanced by the Orca Predation Algorithm for a Hybrid Microgrid System Involving Electric Vehicles

Bibliographic Details
Published in:IEEE Access
Main Authors: Alqahtani, Mohammed H., Aljumah, Ali S., Almutairi, Sulaiman Z., Adem, Seada Hussen, Oubelaid, Adel, AboRas, Kareem M.
Other Authors: Prince Sattam Bin Abdulaziz University
Format: Article in Journal/Newspaper
Language:unknown
Published: Institute of Electrical and Electronics Engineers (IEEE) 2023
Subjects:
Online Access:http://dx.doi.org/10.1109/access.2023.3321695
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10271310.pdf?arnumber=10271310
id crieeecr:10.1109/access.2023.3321695
record_format openpolar
spelling crieeecr:10.1109/access.2023.3321695 2024-03-31T07:54:50+00:00 A Novel Control Methodology Based on the Combination of TIDF and PID μ D Controllers Enhanced by the Orca Predation Algorithm for a Hybrid Microgrid System Involving Electric Vehicles Alqahtani, Mohammed H. Aljumah, Ali S. Almutairi, Sulaiman Z. Adem, Seada Hussen Oubelaid, Adel AboRas, Kareem M. Prince Sattam Bin Abdulaziz University 2023 http://dx.doi.org/10.1109/access.2023.3321695 http://xplorestaging.ieee.org/ielx7/6287639/10005208/10271310.pdf?arnumber=10271310 unknown Institute of Electrical and Electronics Engineers (IEEE) https://creativecommons.org/licenses/by-nc-nd/4.0/ IEEE Access volume 11, page 111525-111544 ISSN 2169-3536 General Engineering General Materials Science General Computer Science Electrical and Electronic Engineering journal-article 2023 crieeecr https://doi.org/10.1109/access.2023.3321695 2024-03-06T02:47:23Z Article in Journal/Newspaper Orca IEEE Publications IEEE Access 11 111525 111544
institution Open Polar
collection IEEE Publications
op_collection_id crieeecr
language unknown
topic General Engineering
General Materials Science
General Computer Science
Electrical and Electronic Engineering
spellingShingle General Engineering
General Materials Science
General Computer Science
Electrical and Electronic Engineering
Alqahtani, Mohammed H.
Aljumah, Ali S.
Almutairi, Sulaiman Z.
Adem, Seada Hussen
Oubelaid, Adel
AboRas, Kareem M.
A Novel Control Methodology Based on the Combination of TIDF and PID μ D Controllers Enhanced by the Orca Predation Algorithm for a Hybrid Microgrid System Involving Electric Vehicles
topic_facet General Engineering
General Materials Science
General Computer Science
Electrical and Electronic Engineering
author2 Prince Sattam Bin Abdulaziz University
format Article in Journal/Newspaper
author Alqahtani, Mohammed H.
Aljumah, Ali S.
Almutairi, Sulaiman Z.
Adem, Seada Hussen
Oubelaid, Adel
AboRas, Kareem M.
author_facet Alqahtani, Mohammed H.
Aljumah, Ali S.
Almutairi, Sulaiman Z.
Adem, Seada Hussen
Oubelaid, Adel
AboRas, Kareem M.
author_sort Alqahtani, Mohammed H.
title A Novel Control Methodology Based on the Combination of TIDF and PID μ D Controllers Enhanced by the Orca Predation Algorithm for a Hybrid Microgrid System Involving Electric Vehicles
title_short A Novel Control Methodology Based on the Combination of TIDF and PID μ D Controllers Enhanced by the Orca Predation Algorithm for a Hybrid Microgrid System Involving Electric Vehicles
title_full A Novel Control Methodology Based on the Combination of TIDF and PID μ D Controllers Enhanced by the Orca Predation Algorithm for a Hybrid Microgrid System Involving Electric Vehicles
title_fullStr A Novel Control Methodology Based on the Combination of TIDF and PID μ D Controllers Enhanced by the Orca Predation Algorithm for a Hybrid Microgrid System Involving Electric Vehicles
title_full_unstemmed A Novel Control Methodology Based on the Combination of TIDF and PID μ D Controllers Enhanced by the Orca Predation Algorithm for a Hybrid Microgrid System Involving Electric Vehicles
title_sort novel control methodology based on the combination of tidf and pid μ d controllers enhanced by the orca predation algorithm for a hybrid microgrid system involving electric vehicles
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2023
url http://dx.doi.org/10.1109/access.2023.3321695
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10271310.pdf?arnumber=10271310
genre Orca
genre_facet Orca
op_source IEEE Access
volume 11, page 111525-111544
ISSN 2169-3536
op_rights https://creativecommons.org/licenses/by-nc-nd/4.0/
op_doi https://doi.org/10.1109/access.2023.3321695
container_title IEEE Access
container_volume 11
container_start_page 111525
op_container_end_page 111544
_version_ 1795036088619761664