Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations
Nowadays, the world is moving towards green energy vehicles and electric vehicles (EVs) are one of the chosen solutions. Vehicle-to-grid (V2G) technology is gradually gaining attention to support issues of performance optimization, energy fluctuations, reducing grid operating costs and bringing opt...
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| Format: | Article |
| Language: | English |
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Can Tho University Publisher
2025-03-01
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| Series: | CTU Journal of Innovation and Sustainable Development |
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| Online Access: | https://ctujs.ctu.edu.vn/index.php/ctujs/article/view/1077 |
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| author | Minh Thien Vo Thi Lan Anh Tran Quang Ai Nguyen Trung Khanh Tran Ngoc Dieu Vo |
| author_facet | Minh Thien Vo Thi Lan Anh Tran Quang Ai Nguyen Trung Khanh Tran Ngoc Dieu Vo |
| author_sort | Minh Thien Vo |
| collection | DOAJ |
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Nowadays, the world is moving towards green energy vehicles and electric vehicles (EVs) are one of the chosen solutions. Vehicle-to-grid (V2G) technology is gradually gaining attention to support issues of performance optimization, energy fluctuations, reducing grid operating costs and bringing optimal efficiency to owners. Along with the rapid increase in the number of EVs, the deployment of effective electric vehicle charging station (EVCS) infrastructure is desirable. However, improper installation can cause many negative impacts on the grid and vice versa, especially EVCS applying V2G charging and discharging techniques. In this study, we propose a computational model to determine the optimal location and size of EVCS applying V2G technique in a distribution network integrating distributed generation sources (DG) with the goal of minimizing active power loss, using an improved method combining the firefly algorithm with the quantum-inspired evolutionary algorithm (QBFA) to find solutions for the problem. The solution results are simulated on a 33-node IEEE standard distribution network using Matlab software and compared with the original FA algorithm to evaluate and propose computational solutions to develop the EVCS system infrastructure in practice.
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| format | Article |
| id | doaj-art-d20f3a482d064049adf4f52ff89e2d22 |
| institution | DOAJ |
| issn | 2588-1418 2815-6412 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Can Tho University Publisher |
| record_format | Article |
| series | CTU Journal of Innovation and Sustainable Development |
| spelling | doaj-art-d20f3a482d064049adf4f52ff89e2d222025-08-20T03:21:50ZengCan Tho University PublisherCTU Journal of Innovation and Sustainable Development2588-14182815-64122025-03-0117Special issue: ETMD10.22144/ctujoisd.2025.014Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generationsMinh Thien Vo0Thi Lan Anh TranQuang Ai NguyenTrung Khanh TranNgoc Dieu Voa:1:{s:5:"en_US";s:5:"HCMUT";} Nowadays, the world is moving towards green energy vehicles and electric vehicles (EVs) are one of the chosen solutions. Vehicle-to-grid (V2G) technology is gradually gaining attention to support issues of performance optimization, energy fluctuations, reducing grid operating costs and bringing optimal efficiency to owners. Along with the rapid increase in the number of EVs, the deployment of effective electric vehicle charging station (EVCS) infrastructure is desirable. However, improper installation can cause many negative impacts on the grid and vice versa, especially EVCS applying V2G charging and discharging techniques. In this study, we propose a computational model to determine the optimal location and size of EVCS applying V2G technique in a distribution network integrating distributed generation sources (DG) with the goal of minimizing active power loss, using an improved method combining the firefly algorithm with the quantum-inspired evolutionary algorithm (QBFA) to find solutions for the problem. The solution results are simulated on a 33-node IEEE standard distribution network using Matlab software and compared with the original FA algorithm to evaluate and propose computational solutions to develop the EVCS system infrastructure in practice. https://ctujs.ctu.edu.vn/index.php/ctujs/article/view/1077Electric vehicle, EVCS, V2G, Optimal location EV |
| spellingShingle | Minh Thien Vo Thi Lan Anh Tran Quang Ai Nguyen Trung Khanh Tran Ngoc Dieu Vo Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations CTU Journal of Innovation and Sustainable Development Electric vehicle, EVCS, V2G, Optimal location EV |
| title | Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations |
| title_full | Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations |
| title_fullStr | Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations |
| title_full_unstemmed | Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations |
| title_short | Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations |
| title_sort | optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations |
| topic | Electric vehicle, EVCS, V2G, Optimal location EV |
| url | https://ctujs.ctu.edu.vn/index.php/ctujs/article/view/1077 |
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