Volume 21, Issue 4 (JIAEEE Vol.21 No.4 2024)
Journal of Iranian Association of Electrical and Electronics Engineers 2024, 21(4): 49-59 |
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Keramati F, Mohammadi H R, Shiran G R. Fast-Charging Station planning on Coupled Transportation and Distribution Networks Considering Power Quality Indexes of Distribution Network and Road Traveling Time of Transportation Network. Journal of Iranian Association of Electrical and Electronics Engineers 2024; 21 (4) :49-59
URL: http://jiaeee.com/article-1-1558-en.html
URL: http://jiaeee.com/article-1-1558-en.html
University of Kashan
Abstract: (787 Views)
In recent years, with increasing application of electric vehicles, studies about fast-charging stations have received attention. One of the most important factors in the development of electric transportation is the availability of fast-charging stations. This paper examines the sizing and siting of fast-charging stations while taking into account how they will affect the traffic flow of urban transportation networks and the power quality indexes of the distribution network. On the other hand, the optimal usage of the reactive power compensation and active filtering capabilities of fast-charging station have been considered. In the proposed method, the harmonic power flow, staircase cost facility location model (SCFLM), and user-equilibrium traffic assignment for modeling constraints of distribution and transportation networks are used. The proposed model aims to reduce traveling time in the transportation network by considering a penalty cost for incremental road traffic congestion in the objective function. Also, the proposed model aims to improve the power quality of the distribution network. The proposed integer linear programming model is implemented in GAMS software and finally, the effectiveness of the proposed method is shown using numerical results.
Keywords: Electric vehicles, fast charging stations, optimization, traveling time, reactive power compensation, harmonic reduction
Type of Article: Research |
Subject:
Power
Received: 2023/01/12 | Accepted: 2023/10/2 | Published: 2025/01/11
Received: 2023/01/12 | Accepted: 2023/10/2 | Published: 2025/01/11
Extended Abstract [PDF 292 KB] (7 Download)
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