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Author:

冀俊忠 (冀俊忠.) (Scholars:冀俊忠) | 刘钺锋 (刘钺锋.) | 杨翠翠 (杨翠翠.)

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incoPat

Abstract:

本发明公开了基于双蚁群优化算法的电动汽车充电基础设施规划方法,本方法基于双蚁群算法实现。该算法使用两个蚁群分别求解CIPL的两个子问题。在每次迭代中,上层蚁群搜索最佳充电站选址,最大化充电需求,下层蚁群搜索每个确定充电站的最佳充电桩数量,最小化经济成本。应用两种信息传输策略平衡充电需求和经济成本。信息素增强策略是根据上层蚁群的解来增强下层蚁群的信息素,以加速下层蚁群的收敛。全局信息素更新策略通过综合考虑两个目标函数来确定最优解,并据此解对上层蚁群的信息素进行更新。

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Patent Info :

Type: 发明申请

Patent No.: CN202211669886.X

Filing Date: 2022-12-25

Publication Date: 2023-04-11

Pub. No.: CN115952986A

Applicants: 北京工业大学

Legal Status: 实质审查

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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