Your Location：
Home >
Browse articles >
Review of Application on Optimization Strategies for New-Type Power System Based on Reinforcement Learning
Power Generation Technology   Vol. 46, Issue 3, Pages: 508-520(2025)
Application of AI in New Power System|Updated：2026-06-29
|

  • Export

  • Collection

  • Album

    • Review of Application on Optimization Strategies for New-Type Power System Based on Reinforcement Learning

    • “2026年6月29日青岛大学电气工程学院的闫正义、王凯团队在《发电技术》发文，介绍了其在强化学习电力应用领域的研究进展，团队系统综述了强化学习算法在新型电力系统中的关键应用，分析了算法改进的优缺点，为解决电力系统智能化运行与控制问题提供解决方案。”

    • DOI：10.12096/j.2096-4528.pgt.24227    

      CLC：

    • Revised：2025-01-19，

    Scan QR Code

  •  
  •  

391

Views

4008

Downloads

10

CSCD

Alert me when the article has been cited
Submit
Outline

Related Articles

Review of Power System Prediction Technologies Based on Large Language Models
Review of Artificial Intelligence Applications in Accelerating Operational Simulation of Power Systems
Key Technologies and Application Prospects of Intelligent Computing in Power Systems
Resilience Enhancement Strategies for Integrated Energy Systems Against False Data Injection Attacks
Research Progress on Comprehensive Utilization Technologies of Zero-Carbon Geothermal Energy

Related Author

ZHANG Zuhan
LIU Dunnan
FAN Hang
YANG Liuqing
MA Zhenyu
LI Yun
DUAN Yunjie
CHEN Yixuan

Related Institution

State Power Investment Group Digital Technology Co., Ltd., Changping District
School of Economics and Management, North China Electric Power University, Changping District
National Key Laboratory of DC Transmission Technology
Southern Power Grid Electric Power Research Institute Co., Ltd.
School of Electrical Engineering and Automation, Wuhan University