Applications of Reinforcement Learning in Frequency Regulation Control of New Power Systems-Reference-Cited by-同舟云学术

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Applications of Reinforcement Learning in Frequency Regulation Control of New Power Systems

Published:2022-11-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)
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Author:

Zhou Tao¹,Wang Yalun¹,Xu Yan²,Wang Qianyuan³,Zhu Zhengguang⁴

Affiliation:

1. School of Automation Nanjing University of Science and Technology,Nanjing,China

2. Product Technology Research and Development Center Jiangsu Frontier Electric Technology Co.Ltd,Nanjing,China

3. Department of Production Safety Huaneng Nanjing Gas Turbine Power Generation Co., Ltd,Nanjing,China

4. State Grid Jiangsu Electric Power Engineering Consulting Co., Ltd,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9970567/9970555/09970560.pdf?arnumber=9970560

Reference44 articles.

1. Automatic generation control of ubiquitous power Internet of Things integrated energy system based on deep reinforcement learning;xi;Scientia Sinica Technologica,2020

2. Automatic generation control based on deep reinforcement learning with exploration awareness;xi;Proceedings of the CSEE,2019

3. Smart generation control based on multi-agent reinforcement learning with the idea of the time tunnel

4. Adaptive policy gradient in multiagent learning

5. A novel multi-agent decentralized win or learn fast policy hill-climbing with eligibility trace algorithm for smart generation control of interconnected complex power grids

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Methodology for Power Systems’ Emergency Control Based on Deep Learning and Synchronized Measurements;Mathematics;2023-11-16

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