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ISSN:
2315-4462 (Print); 2373-3594 (Online)
Abbreviated Title:
Int. J Smart Grid Clean Energy
Frequency:
Semi-annual
Editor-in-Chief:
Prof. Danny Sutanto
Managing Editor:
Ms Jennifer Zeng
DOI:
10.12720/sgce
APC:
500 USD
Indexed by:
Inspec (IET),
CNKI
, Google Scholar,
etc
.
E-mail:
editor@ijsgce.com
Editor-in-Chief
Prof. Danny Sutanto
University of Wollongong, Australia
I am very excited to serve as the first Editor-in-Chief of the Journal of Smart Grid and Clean Energy (IJSGCE)and hope that the publication can enrich the readers’ experience .... [
Read More
]
What's New
2025-03-12
IJSGCE adopts Semi-annual Frequency now !
2024-11-27
IJSGCE opened Online Submission System.
2024-11-27
IJSGCE Vol. 11, No. 5 has been published online!
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2019
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Vol. 8, No. 4, July 2019
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Optimal operation of electric vehicle charging station in an open electricity market
Author(s): Ahmad Abuelrub, Abdel Rahman Al khalayleh, Ahmad Allabadi
Jordan University of Science and Technology, Irbid 22110, Jordan
International Journal of Smart Grid and Clean Energy
, vol. 8, no. 4, July 2019: pp. 495-499
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.8.4.495-499
Abstract
: In this paper, a multi-mode optimization technique for Electric Vehicle (EV) unidirectional charging station is presented. The objective of the proposed system is to reduce the cost of EV charging in an open electricity market. Moreover, the proposed algorithm can be integrated with renewable resources such as photovoltaics (PV), and wind turbines among others. The optimization procedure has three modes of operation to suit customer needs under different circumstances. The three suggested modes of operation are normal mode, eco mode, and boost mode. The aforementioned technique aims to reduce the cost of EV charging by finding the optimal schedule for charging in the available time horizon in each mode. In addition, the optimization algorithm varies the charging rate in order to meet the desired target for some special cases. The optimization technique is based on the Priority List which makes it simple to be implemented online. A case study is presented to illustrate the benefits of using the suggested optimization procedure. The results show the financial feasibility of the proposed procedure.
Keywords
: Electric vehicle, charging station, optimization, photovoltaic
Full Paper.pdf
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