Power management optimization of electric vehicles for grid frequency regulation : comparative study
Metwly, Mohamed Y. and Ahmed, Mohamed and Hamad, Mostafa S. and Abdel-Khalik, Ayman S. and Hamdan, Eman and Elmalhy, Noha A. (2023) Power management optimization of electric vehicles for grid frequency regulation : comparative study. Alexandria Engineering Journal, 65. pp. 749-760. ISSN 1110-0168 (https://doi.org/10.1016/j.aej.2022.10.030)
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Abstract
Electric vehicles (EVs) have shown promise in providing ancillary services, e.g., frequency regulation. This is mainly due to their capacities and fast response. On the contrary, the rapid integration of EVs in the grid poses challenges, such as frequency and voltage stability. In order to mitigate the above-mentioned issues, several dispatching strategies have been introduced in the recent literature to optimize the charging/discharging rates of EVs. In this paper, a comparative study of power management strategies for secondary frequency regulation (SFR) employing a fleet of EVs is presented. A hierarchical control scheme is employed to compare two cases, namely control at the charging station (CS) level and novel control at the EVs level. Under both cases, a multi-objective optimization approach is utilized to define the optimal charging and discharging rates of EVs using a pattern search algorithm. Furthermore, the performance of the two models is experimented under contingency cases, a notable contribution of this study. Finally, simulations are carried out using OPAL-RT real time simulator to validate the performance of the two models based on real-time traces obtained from Pennsylvania, New Jersey, and Maryland (PJM) interconnection and California independent system operator (CAISO). To further validate the proposed model, a comparison with a mixed-integer linear programming (MILP) based model is presented.
ORCID iDs
Metwly, Mohamed Y., Ahmed, Mohamed ORCID: https://orcid.org/0000-0002-8569-4763, Hamad, Mostafa S., Abdel-Khalik, Ayman S., Hamdan, Eman and Elmalhy, Noha A.;-
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Item type: Article ID code: 87632 Dates: DateEvent15 February 2023Published29 December 2022Published Online10 October 2022Accepted9 August 2022SubmittedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Depositing user: Pure Administrator Date deposited: 14 Dec 2023 14:33 Last modified: 11 Nov 2024 14:10 URI: https://strathprints.strath.ac.uk/id/eprint/87632