Two-stage Optimal Dispatch Strategy of New Energy Charging Station in Highway Service Area Based on Deep Reinforcement Learning

Jianshu ZHOU; Yue XIANG; Xin ZHANG; Junyong LIU

doi:10.13334/j.0258-8013.pcsee.241312

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Two-stage Optimal Dispatch Strategy of New Energy Charging Station in Highway Service Area Based on Deep Reinforcement Learning

Key Technologies of Large-scale Electric Vehicle Safe Charging/Discharging and Smart Vehicle-grid Interaction | 更新时间：2026-02-05

- Two-stage Optimal Dispatch Strategy of New Energy Charging Station in Highway Service Area Based on Deep Reinforcement Learning
- “Experts propose a two-stage optimization and control strategy for new energy charging stations in highway service areas based on deep reinforcement learning, establishing a wind solar energy storage integrated charging station system to improve power supply reliability and achieve on-site consumption of "green electricity", providing a solution to the uncertainty of charging and new energy generation.”
- Proceedings of the CSEE Vol. 45, Issue 11, Pages: 4130-4143(2025)
- 作者机构：
  
  1. 四川大学电气工程学院, 四川省成都市 610065
  2. 谢菲尔德大学自动控制与系统工程系, 英国谢菲尔德市 S102TN
- 作者简介：
- 基金信息：
  
  Science and Technology Program of Sichuan Province(2024YFHZ0312);Sichuan University 0-1 Innovation Research Project(2023SCUH0002)
- DOI：10.13334/j.0258-8013.pcsee.241312
  CLC： TM91
- Received：05 June 2024，
  
  Published Online：30 December 2024，
  
  Published：05 June 2025
- 稿件说明：
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Jianshu ZHOU, Yue XIANG, Xin ZHANG, et al. Two-stage Optimal Dispatch Strategy of New Energy Charging Station in Highway Service Area Based on Deep Reinforcement Learning[J]. Proceedings of the CSEE, 2025, 45(11): 4130-4143.
DOI：

Jianshu ZHOU, Yue XIANG, Xin ZHANG, et al. Two-stage Optimal Dispatch Strategy of New Energy Charging Station in Highway Service Area Based on Deep Reinforcement Learning[J]. Proceedings of the CSEE, 2025, 45(11): 4130-4143. DOI： 10.13334/j.0258-8013.pcsee.241312.

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Two-stage Optimal Dispatch Strategy of New Energy Charging Station in Highway Service Area Based on Deep Reinforcement Learning

DOI：10.13334/j.0258-8013.pcsee.241312