Cost-based optimal siting and sizing of electric vehicle charging stations considering demand response programmes

Here, the optimal placement and sizing of electric vehicle charging stations (EVCSs) are presented. High penetration of electric vehicles (EVs) and resulted losses in network would consequently impose more complexity to solution of application problem of EVCSs. To overcome this problem, the model wo...

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Bibliographic Details
Published in:IET generation, transmission & distribution transmission & distribution, 2018-04, Vol.12 (8), p.1712-1720
Main Authors: Simorgh, Hamid, Doagou-Mojarrad, Hasan, Razmi, Hadi, Gharehpetian, Gevork B
Format: Article
Language:English
Subjects:
cost‐based optimal siting
DRP
electric vehicle charging
electric vehicle charging stations
EVC
incentive‐based demand response programmes
optimal sizing
particle swarm optimisation
particle swarm optimisation algorithm
Research Article
secondary cells
test system
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Summary:Here, the optimal placement and sizing of electric vehicle charging stations (EVCSs) are presented. High penetration of electric vehicles (EVs) and resulted losses in network would consequently impose more complexity to solution of application problem of EVCSs. To overcome this problem, the model would consider the incentive-based demand response programmes (DRPs), which is handled by particle swarm optimisation algorithm. Minimising investment cost, connection cost, total cost of losses, and demand response (DR) cost are the objective functions of this problem here. Finally, the proposed model is applied to a test system and results are discussed. By comparing the results obtained through different scenarios, it is concluded that the application of DRP results in a distinct reduction in grid losses and total costs.
ISSN:1751-8687
1751-8695
1751-8695
DOI:10.1049/iet-gtd.2017.1663