基于马尔可夫链的电动汽车充电站仿真系统性能分析

Sahand Hamzehei, Omid Akbarzadeh Pivehzhani, Nazanin Fasihihour, M. Alzgool, M. Khosravi
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引用次数: 0

摘要

由于全球现代化,环境挑战已经减少,在许多地区,通过降低污染来解决相关问题,技术是至关重要的。其中最重要的课题之一是智能交通,可以通过用化石燃料代替电动汽车来评估,近年来化石燃料加剧了特大城市的污染。本研究拟采用马尔可夫链方法对汽车共享场景下的电动汽车和充电站进行建模,以确定最精确的仿真运行和时序参数。此外,通过将区域划分为商业区和住宅区,我们试图确定消费者在待机和充电队列长度方面的行为。这些发现证明了模拟的有效性,因为它们是实际行为的准确反映。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulating a Charging Station for Electric Vehicles (EV) Based on the Concept of the Markov Chain to Analyze the System Performance
Since environmental challenges have diminished due to global modernization, technology is crucial in addressing pertinent problems by lowering pollution in many regions. One of the most crucial topics is intelligent transportation, which may be evaluated by substituting the Electric Vehicle (EV) with fossil fuel, which has increased megacity pollution in recent years. This research intends to model the EV and charging station in the car-sharing scenario using the Markov chain approach to determine the most accurate simulation runs and timing parameters. In addition, by separating the region into commercial and residential zones, we attempted to determine the behavior of consumers in standby and charge queue length. The findings demonstrate the simulation's effectiveness since they are an exact reflection of actual conduct.
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