您当前的位置：
首页 >
文章列表页 >
Optimization Scheduling Strategies for Integrated Energy Systems Based on Improved Deep Deterministic Policy Gradient Algorithm
Energy Internet | 更新时间：2025-10-13

    • Optimization Scheduling Strategies for Integrated Energy Systems Based on Improved Deep Deterministic Policy Gradient Algorithm

    • “In the field of comprehensive energy system optimization scheduling, experts have proposed an optimization strategy based on the improved DDPG algorithm, which effectively solves the problems of large decision space and algorithm convergence, and provides a new solution for achieving efficient scheduling of the system.”
    • Modern Electric Power   Vol. 42, Issue 2, Pages: 322-332(2025)

    • DOI：10.19725/j.cnki.1007-2322.2023.0026    

      CLC： TM73

    • Received：03 February 2023，

      Accepted：19 December 2023，

      Published：10 April 2025

    移动端阅览

  • Jinxia GONG, Chenzhou LI, Hui KE. Optimization Scheduling Strategies for Integrated Energy Systems Based on Improved Deep Deterministic Policy Gradient Algorithm[J]. Modern electric power, 2025, 42(2): 322-332. DOI： 10.19725/j.cnki.1007-2322.2023.0026.

  •  
  •  

0

Views

10

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Optimal Dispatch of Integrated Energy System Based on Deep Reinforcement Learning
Coordinated and Optimized Dispatching of Integrated Energy System Considering Integrated Demand Response and Ladder-type Carbon Trading
Optimal Dispatching of Integrated Energy Systems Considering Demand Response and Carbon Price Uncertainty
Optimization of Electric-heat-gas-hydrogen Integrated Energy System Based on Improved Sparrow Search Algorithm
Optimization of Double-layer Capacity Configuration for Comprehensive Energy Systems Considering Supply Reliability

Related Author

Bijing LIU
Jie XU
Xun ZHAO
Ning DING
Biao YANG
Guili YUAN
Hang YANG
Tao ZHANG

Related Institution

State Grid Electric Power Research Institute, Haidian District
School of Control and Computer Engineering, North China Electric Power University, Changping District
Xianning Power Supply Company, State Grid Hubei Electric Power Co., Ltd.
Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University
College of Electrical Engineering and New Energy, China Three Gorges University
0