摘要
The emerging multi-energy system has brought new challenges and opportunities to energy business worldwide.To address the issues in multi-energy trading,this paper proposes an electricity,heating,and cooling trading model for the interaction between the multi-energy service provider(MESP)and multi-energy consumer(MEC)by using bi-level programming.In the upper level,the model instructs the MESP to make decisions on the optimal energy purchasing scheme and energy economic dispatch.In the lower level,optimal consuming patterns of different energies with the given retail prices are modeled for the MEC.Specifically,a novel multi-energy demand response(DR)program that employs energy conversion devices is proposed.Numerical results show that MEC can reduce its consumption cost via the multi-energy DR.Meanwhile,MESP benefits greatly from the flexibilities of energy conversion.This research can provide theoretical support for the future development of multi-energy trading.
The emerging multi-energy system has brought new challenges and opportunities to energy business worldwide.To address the issues in multi-energy trading, this paper proposes an electricity, heating, and cooling trading model for the interaction between the multi-energy service provider(MESP)and multi-energy consumer(MEC) by using bi-level programming.In the upper level, the model instructs the MESP to make decisions on the optimal energy purchasing scheme and energy economic dispatch. In the lower level, optimal consuming patterns of different energies with the given retail prices are modeled for the MEC. Specifically, a novel multi-energy demand response(DR) program that employs energy conversion devices is proposed. Numerical results show that MEC can reduce its consumption cost via the multi-energy DR. Meanwhile,MESP benefits greatly from the flexibilities of energy conversion.This research can provide theoretical support for the future development of multi-energy trading.
基金
supported by National Key R&D Program of China(No.2016YFB0901900).
作者简介
corresponding author:Fangdi Zeng,received the B.S.degree from Xi’an Jiaotong University,Xi’an,China,in 2016.He is currently pursuing the Master’s degree at Xi’an Jiaotong University,Xi’an,China.His research interests include power system optimization and energy market.e-mail:zfangdi@gmail.com;Zhaohong Bie received the B.S.and M.S.degrees from the Electric Power Department of Shandong University,Jinan,China,in 1992 and 1994,respectively,and the Ph.D.degree from Xi’an Jiaotong University,Xi’an,China,in 1998.Currently,she is a Professor in Xi’an Jiaotong University.Her main research interests are power system planning and reliability evaluation,integration of the renewable energy as well as Energy Internet.e-mail:zhbie@mail.xjtu.edu.cn;Shiyu Liu received the B.S.E.E.degree from Hohai University,Nanjing,China,in 2014,and the M.S.degree from Xi’an Jiaotong University,Xi’an,China,in 2017.She is currently pursuing Ph.D.degree at Xi’an Jiaotong University,Xi’an,China.Her research interests include power system optimization and renewable energy integration.e-mail:liushiyu982@gmail.com;Chao Yan received the B.S.degree from Xi’an Jiaotong University,Xi’an,China,in 2014.He is currently working toward the Ph.D.degree at Xi’an Jiaotong University.His major research interest includes power system reliability evaluation.e-mail:yanchao19911224@stu.xjtu.edu.cn;Gengfeng Li received the Ph.D.degree in electrical engineering from Xi’an Jiaotong University,Xi’an,China,in 2014.He is currently an associate professor of School of Electrical Engineering in Xi’an Jiaotong University.His research interests include power system reliability evaluation and integration of renewable energy.e-mail:gengfengli@xjtu.edu.cn
