在不确定的和不对称的环境中,非对称的BLSCP模型-采取充电站位置问题
Muren1, Yihao Li1, Zhiqiang Xu1
1School of Statistics, Jilin University of Finance and Economics, Changchun, Jilin, China.
PloS one
|January 24, 2025
概括
由于不确定的任务量,灵活的充电站设计至关重要. 本研究引入了一个非对称模型,平衡设施的工作负载并最大限度地降低电动汽车充电基础设施的成本.
科学领域:
- 运营研究 运营研究
- 运输工程 运输工程
- 城市规划 城市规划
背景情况:
- 电动汽车的快速扩张需要适应性的充电站基础设施.
- 收费需求的不确定性和不对称性对设施设计和资源分配构成重大挑战.
研究的目的:
- 为电动汽车充电站的位置和规模提出灵活的建模方法.
- 解决充电站网络中不确定的和不对称的任务量所带来的挑战.
主要方法:
- 介绍了非对称的比特币长期通用副序列问题 (BLSCP) 模型.
- 对于候选中心位置的前向或后向非对称方法的应用.
- 灵活地分配服务管辖区,以平衡设施的工作量.
主要成果:
- 拟议的非对称BLSCP模型有效地处理不确定和不对称的环境.
- 证明能够平衡设施工作负载并最大限度地降低运营成本.
- 验证模型在实际应用和泛化方面的潜力.
结论:
- 非对称BLSCP模型为设计弹性和成本效益高的充电站网络提供了强大的解决方案.
- 灵活的位置和规模战略对于管理电动汽车基础设施的波动需求至关重要.
- 开发的方法表明,在优化城市移动解决方案方面,有望得到广泛采用.
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