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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Vydáno v:Applied energy Ročník 179; s. 1176 - 1184
Hlavní autoři: Kazemi, Mohammad Amin, Sedighizadeh, Mostafa, Mirzaei, Mohammad Javad, Homaee, Omid
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.10.2016
Témata:
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
Growth rate of EVs
EV parking lot
Welfare of the EV owners
Probabilistic model
K-means clustering method
ISSN:0306-2619, 1872-9118
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Shrnutí:•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.
Bibliografie:ObjectType-Article-1
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ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2016.06.125