Intelligent Electric Vehicle Charging Strategy Considering V2H Based On PPO Algorithm

被引：0
作者：
Lv, Yongsheng [1 ]
Zhang, Xiaoyu [1 ]
Mu, Chaoxu [1 ]
机构：
[1] Anhui Univ, Sch Artificial Intelligence, Hefei, Peoples R China
来源：
2024 THE 7TH INTERNATIONAL CONFERENCE ON ENERGY, ELECTRICAL AND POWER ENGINEERING, CEEPE 2024 | 2024年
基金：
中国国家自然科学基金;
关键词：
Electric vehicle; V2H; PPO; reinforcement learning; optimization method; ENERGY-STORAGE; SYSTEM;
D O I：
10.1109/CEEPE62022.2024.10586456
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In recent years, with the widespread popularity of electric vehicles, their role as mobile energy storage units has been realized. For independent residential user groups with electric vehicles, utilizing the charging and discharging behavior of these vehicles in conjunction with V2H technology can effectively reduce household electricity costs. This study aims to identify an optimal charging strategy for electric vehicles using a reinforcement learning algorithm. The obtained results consider commuting time and battery aging while successfully reducing household electricity bill expenses.
引用
收藏
页码：845 / 849
页数：5
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