Abstract
Due to the sustainable properties, technological innovation in electric batteries, as well as the low pollution, using electric vehicles (EVs) for transportation systems has attracted considerable attention. However, the spread of EVs and increased reliance on them instead of fuel cars are mainly depends on strategic placement of EV Charging Stations (CSs). Optimal placement of EVCS problem has been investigated from different perspectives in the literature. This review study focuses on viewing several recently presented techniques in the previous works from two different perspectives. Firstly, the parameters of the objective functions that were employed to solve the EVCSs problem, as well as the problem formulation and optimization models were utilized to handle the problem. In terms of the objective function, various parameters such as total energy loss and total cost, EV user behavior and preference, charging demand, as well as the environmental and geographical conditions have been considered. With regard to the formulation of the problem and optimization techniques were introduced in the literature, the manner in which the problem is formulated and the techniques that were used to solve the problem will be discussed in detail. At last we outline some future works in this area.
Original language | English |
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Title of host publication | 2022 International Arab Conference on Information Technology (ACIT) |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9798350320244, 9798350320237 |
ISBN (Print) | 9798350320251 |
DOIs | |
Publication status | Published - 22 Nov 2022 |
Event | 2022 International Arab Conference on Information Technology (ACIT'2022) - Al Ain University, Abu Dhabi, United Arab Emirates Duration: 22 Nov 2022 → 24 Nov 2022 Conference number: 23 https://acit2k.org/ACIT/index.php/about-acit-2022 |
Conference
Conference | 2022 International Arab Conference on Information Technology (ACIT'2022) |
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Abbreviated title | ACIT'2022 |
Country/Territory | United Arab Emirates |
City | Abu Dhabi |
Period | 22/11/22 → 24/11/22 |
Internet address |