New Prediction of the Number of Charging Electric Vehicles Using Transformation Matrix and Monte-Carlo Method

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초록

An Electric Vehicle (EV) is operated with the electric energy of a battery in place of conventional fossil fuels. Thus, a suitable charging infrastructure must be provided to expand the use of electric vehicles. Because the battery of an EV must be charged to operate the EV, expanding the number of EVs will have a significant influence on the power supply and demand. Therefore, to maintain the balance of power supply and demand, it is important to be able to predict the numbers of charging EVs and monitor the events that occur in the distribution system. In this paper, we predict the hourly charging rate of electric vehicles using transformation matrix, which can describe all behaviors such as resting, charging, and driving of the EVs. Simulation with transformation matrix in a specific region provides statistical results using the Monte-Carlo Method.

키워드

Monte-Carlo method; Transformation matrix; Electric Vehicle(EV); Distribution system; Power supply and demand; Charging infrastructure; Prediction technique; Charging rate; Traffic volume; EV charging cost; SYSTEMS; MODEL
제목
New Prediction of the Number of Charging Electric Vehicles Using Transformation Matrix and Monte-Carlo Method
저자
Go, Hyo-Sang; Ryu, Joon-Hyoung; Kim, Jae-won; Kim, Gil-Dong; Kim, Chul-Hwan
DOI
10.5370/JEET.2017.12.1.451
발행일
2017-01
유형
Article
저널명
Journal of Electrical Engineering & Technology
권
12
호
1
페이지
451 ~ 458