School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
School of Intelligent Manufacturing Engineering and Future Technologies, Fuyao University of Science and Technology, Fuzhou 350001, China
School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
作者简介:
Yuan Zhou received the B.Eng., M.Eng., and Ph.D. degrees in electronic engineering and communication engineering from Tianjin University, Tianjin, China, in 2006, 2008, and 2011, respectively. Since 2011, she has been a Faculty Member with the School of Electronic Information Engineering, Tianjin University, where she is currently a Professor. From 2013 to 2014, she was a Visiting Scholar with the School of Mechanical and Electrical Engineering, University of Southern Queensland, Toowoomba, Australia. From 2016 to 2017, she was a Visiting Scholar with the Department of Electrical Engineering, Princeton University, Princeton, USA. Her research interests include computer vision, reinforcement learning, and active distribution system operation and control.e-mail: zhouyuan@tju.edu.cn
Yizhou Peng received the B.Eng. degree from Shandong University, Qingdao, China, in 2022, and is currently pursuing the M.Eng. degree in Tianjin University, Tianjin, China. Her research interests include reinforcement learning and active distribution system operation and control.e-mail: 2022234073@tju.edu.cn
Leijiao Ge received Ph.D. degree in electrical engineering from Tianjin University, Tianjin, China, in 2016. He is currently an Associate Professor in the School of Electrical and Information Engineering at Tianjin University. His main research interests include smart distribution network, cloud computing, and big data.e-mail: legendglj99@tju.edu.cn
Luyang Hou received the Ph.D. degree in information system engineering from Concordia University, Montreal, Canada, in 2020. He is currently an Assistant Professor at the School of Intelligent Manufacturing Engineering and Future Technologies, Fuyao University of Science and Technology (FYUST), Fuzhou, China. Before joining FYUST, he was a Research Associate Professor at Beijing University of Posts and Telecommunications, Beijing, China, and a Postdoctoral Research Fellow at The University of British Columbia, Vancouver, Canada. His research interests include operational optimization, mechanism design, and machine learning with applications to energy internet and intelligent manufacturing system. He also develops AI-economic paradigm and applies it to integrated energy and information network in terms of smart factory scheduling, energy management, vehicle-grid interaction, electricity-carbon coordination, etc.e-mail: luyang.hou@hotmail.com
Ying Wang received the Ph.D. degree in power system and its automation from Southwest Jiaotong University, Sichuan, China, in 2016. He is currently a Full Professor with the School of Electrical Engineering and Automation, Lanzhou Jiaotong University, Lanzhou, China. His research interests include electrical contact of pantograph-catenary dynamic, power quality of electric traction system, and their applications in electrified railway industry.e-mail: wangying01@mail.lzjtu.cn
Hongxia Niu received master’s degree in traffic information engineering and control engineering from Lanzhou Jiaotong University, Lanzhou, China, in 2003. She is currently an Associate Professor in the School of Automation and Electrical Engineering, Lanzhou Jiaotong University. Her research interests include computer vision and intelligent control.e-mail:nhx56055@mail.lzjtu.cn
基金信息:
the National Science and Technology Major Project(2022ZD0116900);the National Natural Science Foundation of China(52277118);the Natural Science Foundation of Tianjin(22JCZDJC00660)
Yuan Zhou, Yizhou Peng, Leijiao Ge, 等. Two-timescale Volt/var Control Based on Reinforcement Learning with Hybrid Action Space for Distribution Networks[J]. MPCE, 2025,13(4):1261-1273.
Zhou Yuan,Peng Yizhou,Ge Leijiao,et al.Two-timescale Volt/var Control Based on Reinforcement Learning with Hybrid Action Space for Distribution Networks[J].Journal of Modern Power Systems and Clean Energy,2025,13(04):1261-1273.
Yuan Zhou, Yizhou Peng, Leijiao Ge, 等. Two-timescale Volt/var Control Based on Reinforcement Learning with Hybrid Action Space for Distribution Networks[J]. MPCE, 2025,13(4):1261-1273. DOI: 10.35833/MPCE.2024.000643.
Zhou Yuan,Peng Yizhou,Ge Leijiao,et al.Two-timescale Volt/var Control Based on Reinforcement Learning with Hybrid Action Space for Distribution Networks[J].Journal of Modern Power Systems and Clean Energy,2025,13(04):1261-1273. DOI: 10.35833/MPCE.2024.000643.
Two-timescale Volt/var Control Based on Reinforcement Learning with Hybrid Action Space for Distribution Networks