Research on Distributed Intelligent Protection Strategy of distribution network based on Reinforcement Learning
Cui SJ(崔世界)2,3,4,5,6; Zeng P(曾鹏)2,3,4,6; Hu ED(胡恩德)1
2021
会议日期December 17-19, 2021
会议地点Chongqing, China
关键词deep reinforcement learning distributed protection strategy distribution network protection intelligent protection device New power system
页码1069-1073
英文摘要In the context of building a new power system with new energy as the main part, the operation mode of distribution network is more complex, and the traditional distribution network protection strategy can hardly meet the demand, so this paper proposes a distributed intelligent protection strategy for distribution network based on reinforcement learning. This paper analyzes the impact of new energy resources access on distribution network relay protection, and presents an intelligent protection algorithm model based on deep reinforcement learning. The structure of intelligent protection device is designed, and the distribution network distributed protection scheme based on intelligent protection device is proposed. Finally, the algorithm training process is given, and the experimental environment is built.
源文献作者Chengdu Union Institute of Science and Technology ; Chongqing Geeks Education Technology Co., Ltd ; Chongqing Global Union Academy of Science and Technology ; Chongqing University of Technology ; Global Union Academy of Science and Technology ; IEEE Beijing Section
产权排序1
会议录Proceedings of 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2021
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-6654-2876-7
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/30756]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Zeng P(曾鹏)
作者单位1.State Grid Shaoxing Power Supply Company, Shaoxing 312099, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Robotics, Shenyang 110016, China
3.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China
4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
5.University of Chinese Academy of Sciences, Beijing 100049, China
6.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Cui SJ,Zeng P,Hu ED. Research on Distributed Intelligent Protection Strategy of distribution network based on Reinforcement Learning[C]. 见:. Chongqing, China. December 17-19, 2021.
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