Optimization of FACTS devices : classification, recent trends, and future outlook
Mirsaeidi, Sohrab and Devkota, Subash and Tzelepis, Dimitrios and Said, Dalila Mat and Li, Meng and Wang, Xiaojun and Zhang, Pei and He, Jinghan; (2021) Optimization of FACTS devices : classification, recent trends, and future outlook. In: 2021 IEEE 4th International Electrical and Energy Conference (CIEEC). IEEE, CHN, pp. 1-8. ISBN 9781728171494 (https://doi.org/10.1109/cieec50170.2021.9510336)
Preview |
Text.
Filename: Mirsaeidi_etal_CIEEC_2021_Optimization_of_FACTS_devices_classification_recent_trends.pdf
Accepted Author Manuscript License: Strathprints license 1.0 Download (933kB)| Preview |
Abstract
Since the inception of industrialization, power system has been an indispensable aspect of economy. With the progression of time, technology has impalpably commingled into our lifestyle. Alongside blooming technologies, energy demand is proliferating and power companies are begetting energy at their best to quench it. Growing reliance on power system has brought its quality into more advertence. Various electronic devices and topologies have been invented to enhance power quality and reliability; numerous others are still underway. During the course, power system has grown to an intricate network of sources, loads and control devices, leading to various issues such as transmission congestion and high losses. This paper discusses ways to ameliorate congestion and gives an overview of relationship between our present energy resources and ecological threats like global warming. Moreover, it points out various power system problems such as energy losses and transients. The necessity of FACTS devices has also been elaborated alongside their classification and comparison. Finally, numerous topologies and optimization methods proposed in the technical literature have been classified and analyzed to alleviate power system conundrums, and a glimpse into future energy trends is presented.
ORCID iDs
Mirsaeidi, Sohrab, Devkota, Subash, Tzelepis, Dimitrios ORCID: https://orcid.org/0000-0003-4263-7299, Said, Dalila Mat, Li, Meng, Wang, Xiaojun, Zhang, Pei and He, Jinghan;-
-
Item type: Book Section ID code: 82140 Dates: DateEvent17 August 2021Published30 May 2021Published Online28 February 2021AcceptedNotes: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 01 Sep 2022 09:29 Last modified: 11 Nov 2024 15:30 URI: https://strathprints.strath.ac.uk/id/eprint/82140