Optimization of Distributed Integrated Multi-energy System Considering Industrial Process Based on Energy Hub

作     者：Yizhi Zhang Xiaojun Wang Jinghan He Yin Xu Wei Pei Yizhi Zhang;Xiaojun Wang;Jinghan He;Yin Xu;Wei Pei

作者机构：IEEE School of Electrical EngineeringBeijing Jiaotong UniversityBeijing 100044China Institute of Electrical EngineeringChinese Academy of SciencesBeijing 100190China 

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：863-873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 by the National Nature Science Foundation of China(No.51977005) 

主　　题：Distributed integrated multi-energy system(DIMS) industrial production process(IPP) energy hub(EH) optimal operation battery production 

摘      要：As a typical scenario of distributed integrated multi-energy system(DIMS),industrial park contains complex production constraints and strong associations between industrial productions and energy *** industrial production process(IPP)consists of controllable subtasks and strict timing *** IPP as a control variable of optimal scheduling,it is an available approach that models the IPP as material flow into an extension energy hub(EH)to achieve the optimization of industrial *** this paper,considering the coupling between the production process and energy demands,a model of IPP is proposed by dividing the process into different adjustable steps,including continuous subtask,discrete subtask,and storage ***,a transport model of material flow is used to describe the IPP in an industrial park *** on the concept of EH,a universal extension EH model is proposed considering the coupling among electricity,heat,cooling,and ***,an optimal scheduling method for industrial park DIMS is proposed to improve the energy efficiency and operation ***,a case study of a typical battery factory is shown to illustrate the proposed *** simulation results demonstrate that such a method reduces the operation cost and accurately reflects the operation state of the industrial factory.