A Dispatching Method for Integrated Energy System Based on Dynamic Time-interval of Model Predictive Control

作     者：Xun Dou Jun Wang Zhen Wang Lijuan Li Linquan Bai Shuhui Ren Min Gao Xun Dou;Jun Wang;Zhen Wang;Lijuan Li;Linquan Bai;Shuhui Ren;Min Gao

作者机构：IEEE College of Electrical Engineering and Control ScienceNanjing Tech UniversityNanjingChina Department of Systems Engineering and Engineering ManagementUniversity of North Carolina at CharlotteCharlotteUSA Falcon Computing Solutions10880 Wilshire Blvd Suite 1132Los AngelesCA 90024USA 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2020年第8卷第5期

页      面：841-852页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 080702[工学-热能工程] 0808[工学-电气工程] 08[工学] 0807[工学-动力工程及工程热物理] 

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) 

主　　题：Dispatching scheme dynamic time-interval integrated energy system model predictive control 

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 *** scheme may easily result in uneconomic source-grid-load-storage operations 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 ***,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 ***,a dynamic programming algorithm is introduced to efficiently solve the proposed *** and simulation results prove the effectiveness of the method.