Volume 21, Issue 4 (JIAEEE Vol.21 No.4 2024)
Journal of Iranian Association of Electrical and Electronics Engineers 2024, 21(4): 61-75 |
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Shaker M H, Farzin H, Mashhour E. A multiobjective framework for simultaneous placement of electric vehicle battery swapping and charging stations in centralized charging mode. Journal of Iranian Association of Electrical and Electronics Engineers 2024; 21 (4) :61-75
URL: http://jiaeee.com/article-1-1563-en.html
URL: http://jiaeee.com/article-1-1563-en.html
Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Abstract: (1067 Views)
The purpose of this paper is to introduce a framework for the simultaneous optimal placement of battery charging and swapping stations for electric vehicles in centralized charging mode. In the centralized charging mode, unlike the decentralized mode, the charging equipment is located in a place other than the battery swapping station, which is called the central charging station. The batteries are charged in this place and are distributed among the battery swapping stations on a regular basis. The objective functions of the presented model include minimization of the batteries transportation cost, improving the voltage index, and reducing the cost of distribution grid losses. For this purpose, a nonlinear multi-objective model is presented to calculate the objective function values of the problem. Non-dominated sorting genetic algorithm (NSGA-II) is used to solve the optimization problem in this article. The output of the genetic algorithm is a set of pareto optimal points, from which the final solution is selected using fuzzy decision-making method. Finally, the model is implemented on the 69-bus IEEE test system, and the results have been examined in different scenarios. The obtained results verify the efficiency of the presented model.
Keywords: Electric Vehicle, Battery Swapping Station, Centralized Charging, Battery Wear, Placement, Swappable Battery
Type of Article: Research |
Subject:
Power
Received: 2023/01/31 | Accepted: 2023/07/10 | Published: 2025/01/11
Received: 2023/01/31 | Accepted: 2023/07/10 | Published: 2025/01/11
Extended Abstract [PDF 285 KB] (18 Download)
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