Optimal DC Fast Charging Placing And Sizing In Iran Capital (Tehran)
DC fast charging (DCFC) and optimal placing of them is a fundamental factor for the popularization of electric vehicles (EVs). This paper proposes an approach to optimize place and size of charging stations based on genetic algorithm (GA). Target of this method is minimizing cost of conversion of ga...
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| Format: | Article |
| Language: | English |
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Amirkabir University of Technology
2018-12-01
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| Series: | AUT Journal of Electrical Engineering |
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| Online Access: | https://eej.aut.ac.ir/article_3092_a2fa18144149be5ccf22daec606f5001.pdf |
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| author | M. Mosstafayi M. Abedi Gh.H. Riahy Dehkordi |
| author_facet | M. Mosstafayi M. Abedi Gh.H. Riahy Dehkordi |
| author_sort | M. Mosstafayi |
| collection | DOAJ |
| description | DC fast charging (DCFC) and optimal placing of them is a fundamental factor for the popularization of electric vehicles (EVs). This paper proposes an approach to optimize place and size of charging stations based on genetic algorithm (GA). Target of this method is minimizing cost of conversion of gas stations to charging stations. Another considered issue is minimizing EVs losses to find nearest station to recharge batteries. The introduced model forms a mixed-integer non-linear problem and is solved by binary GA and is adopted for finding the optimal place and size of charging stations in Iran capital (Tehran). This practical study proves that the proposed model and method are feasible. Existing gas stations in Tehran are selected as candidate to be converted as DC fast charging. EVs has been outspread throughout of city based on traffic and trips in each municipal districts. The model developed here can be generalized to data set for any region or city and can be used for governmental decision for constructing charging station infrastructure. |
| format | Article |
| id | doaj-art-27bf7d44cf9248a0a3b7ed3c0d437751 |
| institution | Kabale University |
| issn | 2588-2910 2588-2929 |
| language | English |
| publishDate | 2018-12-01 |
| publisher | Amirkabir University of Technology |
| record_format | Article |
| series | AUT Journal of Electrical Engineering |
| spelling | doaj-art-27bf7d44cf9248a0a3b7ed3c0d4377512025-08-20T03:27:43ZengAmirkabir University of TechnologyAUT Journal of Electrical Engineering2588-29102588-29292018-12-0150214915610.22060/eej.2018.13801.51913092Optimal DC Fast Charging Placing And Sizing In Iran Capital (Tehran)M. Mosstafayi0M. Abedi1Gh.H. Riahy Dehkordi2Electrical Engineering Department, Amirkabir University of Technology, Tehran, IranElectrical Engineering Department, Amirkabir University of Technology, Tehran, IranElectrical Engineering Department, Amirkabir University of Technology, Tehran, IranDC fast charging (DCFC) and optimal placing of them is a fundamental factor for the popularization of electric vehicles (EVs). This paper proposes an approach to optimize place and size of charging stations based on genetic algorithm (GA). Target of this method is minimizing cost of conversion of gas stations to charging stations. Another considered issue is minimizing EVs losses to find nearest station to recharge batteries. The introduced model forms a mixed-integer non-linear problem and is solved by binary GA and is adopted for finding the optimal place and size of charging stations in Iran capital (Tehran). This practical study proves that the proposed model and method are feasible. Existing gas stations in Tehran are selected as candidate to be converted as DC fast charging. EVs has been outspread throughout of city based on traffic and trips in each municipal districts. The model developed here can be generalized to data set for any region or city and can be used for governmental decision for constructing charging station infrastructure.https://eej.aut.ac.ir/article_3092_a2fa18144149be5ccf22daec606f5001.pdfelectric vehiclescharging stationoptimal placingbinary genetic algorithm |
| spellingShingle | M. Mosstafayi M. Abedi Gh.H. Riahy Dehkordi Optimal DC Fast Charging Placing And Sizing In Iran Capital (Tehran) AUT Journal of Electrical Engineering electric vehicles charging station optimal placing binary genetic algorithm |
| title | Optimal DC Fast Charging Placing And Sizing In Iran Capital (Tehran) |
| title_full | Optimal DC Fast Charging Placing And Sizing In Iran Capital (Tehran) |
| title_fullStr | Optimal DC Fast Charging Placing And Sizing In Iran Capital (Tehran) |
| title_full_unstemmed | Optimal DC Fast Charging Placing And Sizing In Iran Capital (Tehran) |
| title_short | Optimal DC Fast Charging Placing And Sizing In Iran Capital (Tehran) |
| title_sort | optimal dc fast charging placing and sizing in iran capital tehran |
| topic | electric vehicles charging station optimal placing binary genetic algorithm |
| url | https://eej.aut.ac.ir/article_3092_a2fa18144149be5ccf22daec606f5001.pdf |
| work_keys_str_mv | AT mmosstafayi optimaldcfastchargingplacingandsizinginirancapitaltehran AT mabedi optimaldcfastchargingplacingandsizinginirancapitaltehran AT ghhriahydehkordi optimaldcfastchargingplacingandsizinginirancapitaltehran |