Scholarlink

Deep Reinforcement Learning (DRL) methods have been applied in several areas of electric vehicle charging scheduling. This paper reviews and summarizes the application of DRL in cluster EV charging scheduling. Firstly, the article has reviewed the development history of reinforcement learning and the key techniques of multi-agent reinforcement learning, focusing on the relevant techniques of multi-agent. Secondly, the study analyzes the characteristics of distributed charging scheduling for cluster EVs and analyzes the application of MADRL in distributed scheduling. This article introduces and analyzes the existing research foundation and current practical application status, aiming to provide references and insights for future research and application of MADRL in the field of electric vehicle charging scheduling.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Review of Cluster Electric Vehicle Charging Scheduling Based on Multi-agent Deep Reinforcement Learning

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Ziran Peng,
  • Zhenyu He,
  • Shenping Xiao

摘要

Deep Reinforcement Learning (DRL) methods have been applied in several areas of electric vehicle charging scheduling. This paper reviews and summarizes the application of DRL in cluster EV charging scheduling. Firstly, the article has reviewed the development history of reinforcement learning and the key techniques of multi-agent reinforcement learning, focusing on the relevant techniques of multi-agent. Secondly, the study analyzes the characteristics of distributed charging scheduling for cluster EVs and analyzes the application of MADRL in distributed scheduling. This article introduces and analyzes the existing research foundation and current practical application status, aiming to provide references and insights for future research and application of MADRL in the field of electric vehicle charging scheduling.