Optimal siting and sizing of distribution system operator owned EV parking lots
•An approach to determine the optimal number, location and capacity of EV parking lots.•Investigation of “EV owners’ welfare” and the effect of this term.•Investigation of the growth percentage of the EVs as a probabilistic parameter. In this paper, a new approach is presented to determine the optim...
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| Published in: | Applied energy Vol. 179; pp. 1176 - 1184 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.10.2016
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| ISSN: | 0306-2619, 1872-9118 |
| Online Access: | Get full text |
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| Abstract | •An approach to determine the optimal number, location and capacity of EV parking lots.•Investigation of “EV owners’ welfare” and the effect of this term.•Investigation of the growth percentage of the EVs as a probabilistic parameter.
In this paper, a new approach is presented to determine the optimal number, location and capacity of each Electric Vehicle (EV) parking lot to maximize the profit of electrical distribution companies. In the proposed approach, while considering the term of “EV owners’ welfare”, the effect of this term on optimal location and capacity of the EV parking lots is also investigated. Moreover, the expected growth percentage of the EVs in the upcoming years is presented as a probabilistic parameter. The way of affecting the planning of the parking lots is analyzed. Also, an approach has been presented based on K-means clustering method to estimate the number of EVs approaching for a parking lot which can lead to a more accurate prediction of the costs and incomes of establishing a parking lot. The presented approach is performed on the 69 node radial distribution system and the results are analyzed. |
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| AbstractList | In this paper, a new approach is presented to determine the optimal number, location and capacity of each Electric Vehicle (EV) parking lot to maximize the profit of electrical distribution companies. In the proposed approach, while considering the term of “EV owners’ welfare”, the effect of this term on optimal location and capacity of the EV parking lots is also investigated. Moreover, the expected growth percentage of the EVs in the upcoming years is presented as a probabilistic parameter. The way of affecting the planning of the parking lots is analyzed. Also, an approach has been presented based on K-means clustering method to estimate the number of EVs approaching for a parking lot which can lead to a more accurate prediction of the costs and incomes of establishing a parking lot. The presented approach is performed on the 69 node radial distribution system and the results are analyzed. •An approach to determine the optimal number, location and capacity of EV parking lots.•Investigation of “EV owners’ welfare” and the effect of this term.•Investigation of the growth percentage of the EVs as a probabilistic parameter. In this paper, a new approach is presented to determine the optimal number, location and capacity of each Electric Vehicle (EV) parking lot to maximize the profit of electrical distribution companies. In the proposed approach, while considering the term of “EV owners’ welfare”, the effect of this term on optimal location and capacity of the EV parking lots is also investigated. Moreover, the expected growth percentage of the EVs in the upcoming years is presented as a probabilistic parameter. The way of affecting the planning of the parking lots is analyzed. Also, an approach has been presented based on K-means clustering method to estimate the number of EVs approaching for a parking lot which can lead to a more accurate prediction of the costs and incomes of establishing a parking lot. The presented approach is performed on the 69 node radial distribution system and the results are analyzed. |
| Author | Sedighizadeh, Mostafa Homaee, Omid Mirzaei, Mohammad Javad Kazemi, Mohammad Amin |
| Author_xml | – sequence: 1 givenname: Mohammad Amin surname: Kazemi fullname: Kazemi, Mohammad Amin email: Amin.Kazemi@Mail.sbu.ac.ir organization: Department of Electrical Engineering, Shahid Beheshti University, Iran – sequence: 2 givenname: Mostafa surname: Sedighizadeh fullname: Sedighizadeh, Mostafa organization: Department of Electrical Engineering, Shahid Beheshti University, Iran – sequence: 3 givenname: Mohammad Javad surname: Mirzaei fullname: Mirzaei, Mohammad Javad organization: Department of Electrical Engineering, Iran University of Science and Technology, Iran – sequence: 4 givenname: Omid surname: Homaee fullname: Homaee, Omid organization: Department of Electrical Engineering, Iran University of Science and Technology, Iran |
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| Keywords | Growth rate of EVs EV parking lot Welfare of the EV owners Probabilistic model K-means clustering method |
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| Snippet | •An approach to determine the optimal number, location and capacity of EV parking lots.•Investigation of “EV owners’ welfare” and the effect of this... In this paper, a new approach is presented to determine the optimal number, location and capacity of each Electric Vehicle (EV) parking lot to maximize the... |
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| SubjectTerms | business enterprises EV parking lot Growth rate of EVs income K-means clustering method planning prediction Probabilistic model vehicles (equipment) Welfare of the EV owners |
| Title | Optimal siting and sizing of distribution system operator owned EV parking lots |
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