LAPSE:2023.7980
Published Article
LAPSE:2023.7980
Utilization of Electric Vehicle Grid Integration System for Power Grid Ancillary Services
Himadry Shekhar Das, Md Nurunnabi, Mohamed Salem, Shuhui Li, Mohammad Mominur Rahman
February 24, 2023
Abstract
Electric vehicle grid integration (EVGI) is one of the most important parts of transportation electrification. However, large-scale EV charging/discharging can have an adverse effect on the distribution grid, due to a large amount of load being drawn from or fed back to the power grid. Additionally, the power electronics used in the grid interaction may impose additional complications, such as voltage and frequency deviation, harmonic distortion, etc. With proper control scheme designs for the grid-connected inverters, such complications can be mitigated, and several grid ancillary services, such as voltage and frequency support, reactive power support, and harmonic mitigation, can be facilitated from large-scale EVGI. In this study, a large-scale EVGI system is developed where the vector control implementation of a grid-connected inverter in the d-q reference frame is presented for providing different grid ancillary services using the EVGI system. The EVGI system is operated in different control modes to ensure multiple ancillary services of the power grid. The study is supported by the electromagnetic transient simulation performed in Matlab/Simulink of a large-scale EVGI system. The simulation shows that with the proper control mechanism of grid-connected inverters, EVGI can be used to provide several useful grid ancillary services.
Keywords
electric vehicle grid integration, grid ancillary services, grid-connected filters, inverter-based resources, vector control
Suggested Citation
Das HS, Nurunnabi M, Salem M, Li S, Rahman MM. Utilization of Electric Vehicle Grid Integration System for Power Grid Ancillary Services. (2023). LAPSE:2023.7980
Author Affiliations
Das HS: Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35401, USA [ORCID]
Nurunnabi M: Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35401, USA [ORCID]
Salem M: School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), Nibong Tebal 14300, Penang, Malaysia [ORCID]
Li S: Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35401, USA
Rahman MM: Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar
Journal Name
Energies
Volume
15
Issue
22
First Page
8623
Year
2022
Publication Date
2022-11-17
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15228623, Publication Type: Journal Article
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LAPSE:2023.7980
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https://doi.org/10.3390/en15228623
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