电动汽车充电站:模型,算法,模拟,位置和容量规划.
1Department of Management Information Systems, Ostim Technical University, Ankara, Turkey.
Heliyon
|April 16, 2024
概括
优化电动汽车充电站 (EVCS) 的位置是促进电动汽车采用的关键. 本研究提出了一个有效的EVCS安置和容量规划模型,减少旅行和等待时间.
科学领域:
- 可持续的运输可持续的运输
- 环境科学 环境科学
- 城市规划 城市规划
背景情况:
- 电动汽车 (EV) 对可持续运输至关重要,但面临采用障碍.
- 充电基础设施不足阻碍了全球广泛采用电动汽车.
- 优化电动汽车充电站 (EVCS) 的位置对于电动汽车的普及至关重要.
研究的目的:
- 开发一种全面的方法来确定最佳的EVCS位置和容量.
- 将位置建模与需求预测和市场透进行集成,用于EVCS规划.
- 解决有关EVCS优化需求和市场透现有文献的空白.
主要方法:
- 关于电动汽车充电基础设施设施位置模型的文献综述.
- 利用遗传算法来解决EVCS位置选择的p-中位数问题.
- 采用Arena 14模拟软件用于交通建模和优化充电单元配置.
主要成果:
- 拟议的模型确定了EVCS的最佳公共区域,考虑到需求和可访问性.
- 结果显示,电动汽车用户的旅行距离缩短,等待时间缩短.
- 该模型提供了一个可扩展的解决方案,可以适应电动汽车市场未来的增长.
结论:
- 一个强大的,战略性地放置的EVCS网络对于提高EV可行性和吸引力至关重要.
- 通过准确的需求预测来提供信息的积极基础设施开发,支持向可持续运输的过渡.
- 这项研究为EVCS安置和容量规划提供了一个可持续和经济的模型.
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