摘要
In integrated energy systems(IESs),traditional fixed time-interval dispatching scheme is unable to adapt to the need of dynamic properties of the transient network,demand response characteristics,dispatching time scales in energy subsystems and renewable power uncertainties.This scheme may easily result in uneconomic source-grid-load-storage operations in IES.In this paper,we propose a dispatching method for IES based on dynamic time-interval of model predictive control(MPC).We firstly build models for energy sub-systems and multi-energy loads in the power-gas-heat IES.Then,we develop an innovative optimization method leveraging trajectory deviation control,energy control,and cost control frameworks in MPC to handle the requirements and constraints over the timeinterval of dispatching.Finally,a dynamic programming algorithm is introduced to efficiently solve the proposed method.Experiments and simulation results prove the effectiveness of the method.
基金
supported in part by National Key R&D Program of China(No.2018YFB0905000)
National Natural Science Foundation of China(No.61873121)
Science and Technology Project of State Grid Corporation of China(No.SGTJDK00DWJS1800232)
作者简介
Xun Dou received the B.S.,M.S.and Ph.D.degrees from Southeast University,Nanjing,China,in 2001,2004 and 2012,respectively.She has been an Associate Professor at Nanjing Tech University,Nanjing,China.From 2015 to 2016,she was a Visiting Scholar at the School of Mechanical Engineering,University of California,Los Angeles(UCLA),Los Angeles,USA.She is the author of more than 20 articles,and more than 10 inventions.Her research interests include integrated energy systems,power markets and power economics,demand response,and power planning.e-mail:dxnjut@njtech.edu.cn;Jun Wang received the B.S.degree in electrical engineering and automation from Nanjing Tech University,Nanjing,China,in 2017.He is currently pursuing the M.S.degree in the College of Electrical Engineering and Control Science,Nanjing Tech University.His research interests include integrated energy systems,and power markets and power economics.e-mail:wjnjut@163.com;Zhen Wang is now working toward the B.S.degree in electrical engineering and automation at the Nanjing Tech University,Nanjing,China.His research interests include integrated energy systems,and microgrid optimal operation.e-mail:2629675471@qq.com;Lijuan Li received the B.S.and M.S.degrees from Nanjing Tech University,Nanjing,China,in 1997 and 2004,respectively,and Ph.D.degree at the Zhejiang University,Hangzhou,China,in 2008.She has been a Professor at Nanjing Tech University.From 2013 to 2014,she was a Visiting Scholar at the University of California,USA.Her research interests include data science,the application of artificial intelligence in industrial processes,modeling of complex industrial processes,predictive control,and control system performance evaluation.e-mail:ljli@njtech.edu.cn;corresponding author:Linquan Bai received the B.S.and M.S.degrees in electrical engineering from Tianjin University,Tianjin,China,in 2010 and 2013,respectively,and Ph.D.degree at the University of Tennessee,Knoxville,USA.He is an Assistant Professor at University of North Carolina at Charlotte,Charlotte,USA.His research interests include power system operation and optimization,electricity markets,and integrated energy systems.e-mail:linquanbai@uncc.edu;Shuhui Ren received the B.S.degree in electrical engineering and automation from Nanjing Tech University,Nanjing,China,in 2019.She is currently pursuing the M.S.degree in the College of Electrical Engineering and Control Science,Nanjing Tech University.Her research interests include integrated energy systems,and integrated demand response.e-mail:360167160@qq.com;Min Gao received the Ph.D.degree in electrical engineering and the M.S.degree in electrical engineering from University of California,Los Angeles,USA,and the B.E.degree in electrical engineering and automation,Nanjing Tech University,Nanjing,China.He was a Visiting Scholar with Max Planck Institute for Software Systems,Germany,and State Key Laboratory of VLSI and Systems,Fudan University,Shanghai,China.His research interests include Energy Internet,machine learning,formal verification,cloud computing,internet of things,and hetrogeneous computing.e-mail:mingao@falcon-computing.com
