Resilience Improvement Strategy for the Electrification-Transportation Coupling Network Based on Safe Deep Reinforcement Learning

XU Ding; YANG Qiming; WU Mingming; FU Chaoran; XING Qiang; ZHANG Guoli; WANG Mingshen

doi:10.12204/j.issn.1000-7229.2026.03.003

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Resilience Improvement Strategy for the Electrification-Transportation Coupling Network Based on Safe Deep Reinforcement Learning

Key Technologies for High\-Precision Prediction\, Risk Assessment and Operation of Meteorology\-Sensitive Power Systems\·Hosted by YU Guangzheng\，YANG Mao\，LI Gengfeng\，LI Ran\，LI Yuanzheng\，WAN Can\· | 更新时间：2026-09-28

- Resilience Improvement Strategy for the Electrification-Transportation Coupling Network Based on Safe Deep Reinforcement Learning
- Electric Power Construction Vol. 47, Issue 3, Pages: 24-38(2026)
- 作者机构：
  
  1.国网上海市电力公司浦东供电公司，上海市 200122
  2.南京邮电大学自动化学院，南京市 210023
  3.国网江苏省电力有限公司电力科学研究院，南京市 211103
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52477101);the Science and Technology Project of State Grid Corporation of China(52092125000A)
- DOI：10.12204/j.issn.1000-7229.2026.03.003
  CLC： TM73
- Received：25 September 2025，
  
  Revised：2025-11-19，
  
  Published：01 March 2026
- 稿件说明：
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徐鼎,杨祺铭,吴明明等.基于安全深度强化学习的电力-交通耦合网络韧性提升策略[J].电力建设,2026,47(03):24-38.

XU Ding,YANG Qiming,WU Mingming,et al.Resilience Improvement Strategy for the Electrification-Transportation Coupling Network Based on Safe Deep Reinforcement Learning[J].Electric Power Construction,2026,47(03):24-38.
徐鼎,杨祺铭,吴明明等.基于安全深度强化学习的电力-交通耦合网络韧性提升策略[J].电力建设,2026,47(03):24-38. DOI： 10.12204/j.issn.1000-7229.2026.03.003.

XU Ding,YANG Qiming,WU Mingming,et al.Resilience Improvement Strategy for the Electrification-Transportation Coupling Network Based on Safe Deep Reinforcement Learning[J].Electric Power Construction,2026,47(03):24-38. DOI： 10.12204/j.issn.1000-7229.2026.03.003.

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Resilience Improvement Strategy for the Electrification-Transportation Coupling Network Based on Safe Deep Reinforcement Learning

DOI：10.12204/j.issn.1000-7229.2026.03.003