School of Electrical and Power Engineering, Hohai University, Nanjing, China
College of Control Science and Engineering, Zhejiang University, Hangzhou, China
Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
作者简介:
Tingyu Jiang received the B.S. and Ph.D. degrees in electrical engineering from Hohai University, Nanjing, China, in 2017 and 2022, respectively. She is currently a Lecturer at the School of Electrical and Power Engineering, Hohai University. Her research interests include demand response, ancillary service, and game theory application in scheduling.e-mail: jtingyuyuki@163.com
Chuan Qin received the B.Eng. degree in electrical engineering from Nantong Institute of Technology, Nantong, China, in 2002, and the M.Sc. and Ph.D. degrees in electrical engineering from Hohai University, Nanjing, China, in 2005 and 2013, respectively. He is currently an Associate Professor at School of Electrical and Power Engineering, Hohai University. His research interests include modeling and control of power system and renewable power generation.e-mail: cqin@hhu.edu.cn
Yuzhong Gong received the B.S. degree from Zhejiang University of Technology, Hangzhou, China, in 2010, and the Ph.D. degree from Zhejiang University, Hangzhou, China, in 2015. He is currently a Research Associate at Zhejiang University. His research interests include power system planning and operation, renewable energy integration, and energy storage system.e-mail: yzgong@zju.edu.cn
Ke Wang received the M.E. degree in electrical engineering from State Grid Electric Power Research Institute, Nanjing, China, in 2004, and the Ph.D. degree in electrical engineering from China Electric Power Research Institute, Beijing, China, in 2018. She is currently a Professor at School of Electrical and Power Engineering, Hohai University, Nanjing, China. Her research interests include demand response scheduling optimization and power system simulation.e-mail: 20220021@hhu.edu.cn
Ping Ju received the B.S. and M.S. degrees in electrical engineering from Southeast University, Nanjing, China, in 1982 and 1985, respectively, and the Ph.D. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 1988. From 1994 to 1995, he was an Alexander-von Humboldt Fellow with the University of Dortmund, Dortmund, Germany. He is currently a Professor of Hohai University, Nanjing, China and Zhejiang University. His research interests include modeling and control of power system with integration of renewable generation.e-mail: pju@ hhu.edu.cn
Chi Yung Chung received the B.Eng. (Hons.) and Ph.D. degrees in electrical engineering from The Hong Kong Polytechnic University, Hong Kong, China, in 1995 and 1999, respectively. He is currently the Head of the Department and a Chair Professor in power systems engineering with the Department of Electrical Engineering, The Hong Kong Polytechnic University. His research interests include smart grid, renewable energy, power system stability and control, planning and operation, computational intelligence application, electricity market, and electric vehicle charging. e-mail: c.y.chung@polyu.edu.hk
基金信息:
the Natural Science Foundation of Jiangsu Province(BK20230953);the National Science Foundation of China(U2066601);the National Natural Science Foundation of China(52277088)
Tingyu Jiang, Chuan Qin, Yuzhong Gong, 等. Demand Response Potential Estimation Model for Typical Industrial Users Considering Uncertain and Subjective Factors[J]. MPCE, 2025,13(4):1360-1372.
Jiang Tingyu,Qin Chuan,Gong Yuzhong,et al.Demand Response Potential Estimation Model for Typical Industrial Users Considering Uncertain and Subjective Factors[J].Journal of Modern Power Systems and Clean Energy,2025,13(04):1360-1372.
Tingyu Jiang, Chuan Qin, Yuzhong Gong, 等. Demand Response Potential Estimation Model for Typical Industrial Users Considering Uncertain and Subjective Factors[J]. MPCE, 2025,13(4):1360-1372. DOI: 10.35833/MPCE.2024.000764.
Jiang Tingyu,Qin Chuan,Gong Yuzhong,et al.Demand Response Potential Estimation Model for Typical Industrial Users Considering Uncertain and Subjective Factors[J].Journal of Modern Power Systems and Clean Energy,2025,13(04):1360-1372. DOI: 10.35833/MPCE.2024.000764.
Demand Response Potential Estimation Model for Typical Industrial Users Considering Uncertain and Subjective Factors