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Overall Journal Statistics
Published articles: 234
Acceptance rate: 84.3
Rejection rate: 15.7
Average time to review: 98 days
Average time to publish: 26 days
..
:: Volume 10, Issue 4 (3-2022) ::
تحقیقات نوین در سیستمهای قدرت هوشمند 2022, 10(4): 1-12 Back to browse issues page
Smart Charge Management of Electric Vehicles in the Distribution Network in the Presence of Demand Response Program
Moaiad Mohseni , Mahmood Joorabian * , Afshin Lashkarara
Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Abstract:   (162 Views)
Charging electric vehicles in the distribution network is one of the most basic solutions for technical and economic management of energy distribution. In many traditional charging methods, the condition of fully charging cars when leaving the parking lot has always been a problem. But in this article, each car is intelligently charged only based on the amount of energy required to travel its daily journeys. In order to implement this smart method, owners of electric vehicles provide information about the number of trips and the length of their route to the parking charge management, and based on the specifications of the vehicles and the initial energy level of their battery when entering the parking lot, the amount The charge required for them is determined. Then, the charging manager plans the charging based on the tariff of energy consumption time, limitation of distribution network transformers, type of charge level selected (normal or fast) so that charging costs are minimized by observing technical and economic constraints. . The result of intelligent car charging in normal and fast charging conditions and in different limitations of the distribution network and in the presence or absence of load response program is compared with each other. YALMIP and MOSEK software have been used to solve the mixed integer linear programming model.
 
Keywords: Smart Charging Vehicles, demand Response program, mixed integer linear programming, Distribution Network.
Full-Text [PDF 1036 kb]   (107 Downloads)    
Type of Study: Research | Subject: Special
Received: 2021/11/3 | Accepted: 2021/12/24 | Published: 2022/02/28
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mohseni M, joorabian M, lashkarara A. Smart Charge Management of Electric Vehicles in the Distribution Network in the Presence of Demand Response Program. تحقیقات نوین در سیستمهای قدرت هوشمند 2022; 10 (4) :1-12
URL: http://jeps.dezful.iau.ir/article-1-359-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 10, Issue 4 (3-2022) Back to browse issues page
تحقیقات نوین در برق Journal of Novel Researches on Electrical Power
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