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- W4281618961 abstract "Abstract Considering the development of the Electric Vehicle industry, and the growing number of such vehicles in public transport, the charging problem of these vehicles is essential. The service process of a charging station seems a fundamental question, that must be analyzed. Using the theory of stochastic processes, especially the Poisson process and the queuing theory; the characterization of the process can be studied. Some fundamental system parameters like the average waiting time, the average time in the system, the average time in the queue, and the average length of the queue, etc., can be modeled by the queuing theory using the service rate, the charging rate, and the number of servers, etc., as parameters. Using the conclusions of this model, and considering the demands of Electric Vehicle users, the necessary/minimal/optimal number of servers, parking lots, etc. can be estimated. Using the theory of the Markov process, a stochastic model can be proposed for studying the long-term characterization of Electric Vehicle owners’ charging behavior; that which’s problem is strongly affected by the properties of charging stations. In this article, the queuing model and the Monte-Carlo method are presented for characterizing a charging station. For every calculation, Matlab has been used." @default.
- W4281618961 created "2022-06-13" @default.
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- W4281618961 date "2022-05-01" @default.
- W4281618961 modified "2023-10-14" @default.
- W4281618961 title "Application of the theory of stochastic processes and Monte-Carlo simulations for the analysis of the operation of charging stations for electric vehicles" @default.
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- W4281618961 doi "https://doi.org/10.1088/1757-899x/1237/1/012002" @default.
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