Low-carbon Economic Dispatch of Electric-thermal Coupling System Based on Twin Delayed DDPG Reinforcement Learning

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Energy Internet | 更新时间：2025-10-13

- Low-carbon Economic Dispatch of Electric-thermal Coupling System Based on Twin Delayed DDPG Reinforcement Learning
- “In the field of low-carbon economic dispatch in electric thermal coupling systems, experts have proposed a reinforcement learning method, established a low-carbon economic dispatch model, designed a multi-objective reward function, trained intelligent agents using improved algorithms, and responded in real-time to renewable energy and electricity/heat load uncertainties to optimize low-carbon economic dispatch.”
- Modern Electric Power Vol. 42, Issue 2, Pages: 314-321(2025)
- 作者机构：
  
  1.江西江投集团能源技术研究院, 江西省南昌市 330096
  2.江西赣能股份有限公司, 江西省南昌市 330096
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0058
  CLC： TM73
- Received：21 February 2023，
  
  Accepted：27 December 2023，
  
  Published：10 April 2025
- 稿件说明：
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Siwei CHEN, Jianjun LI, Xinxun ZOU, et al. Low-carbon Economic Dispatch of Electric-thermal Coupling System Based on Twin Delayed DDPG Reinforcement Learning[J]. Modern electric power, 2025, 42(2): 314-321.
DOI：

Siwei CHEN, Jianjun LI, Xinxun ZOU, et al. Low-carbon Economic Dispatch of Electric-thermal Coupling System Based on Twin Delayed DDPG Reinforcement Learning[J]. Modern electric power, 2025, 42(2): 314-321. DOI： 10.19725/j.cnki.1007-2322.2023.0058.

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