Dynamic coupling across energy forms and hybrid simulation of the multi-energy system

被引:2
作者
Zhang, Shuqing [1 ]
Hu, Xianfa [1 ]
He, Xianggang [2 ]
Tang, Shaopu [1 ]
Li, Haibo [3 ]
Zhang, Donghui [3 ]
机构
[1] Tsinghua Univ, Elect Engn Dept, Beijing, Peoples R China
[2] Guizhou Power Grid Co Ltd, Power Grid Planning Res Ctr, Guangzhou, Guangdong, Peoples R China
[3] Tsinghua Sichuan Energy Internet Res Inst, Chengdu, Sichuan, Peoples R China
关键词
multi-energy system (MES); dynamic coupling; hybrid simulation; interface modeling; mapping partition; HEAT; FLOW;
D O I
10.3389/fenrg.2023.1209845
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A multi-energy (ME) system can coordinate local energy sources and users and optimize the supply of various energy forms, to maximize the comprehensive utilization efficiency of energy. As the scale of the multi-energy system becomes more extensive and the physical connections of different energy forms become diversified, the coupling of various forms of energy becomes closer. Such development has brought significant challenges to safe operations and effective regulation of the system and equipment. However, no efficient and easy-to-use dynamic simulation method is available for multi-energy systems. It has become an urgent problem how to fully use the existing rich models and algorithms of conventional energy systems to construct the dynamic simulations of multi-energy systems. Based on the multi-energy system's structure, components, and model characteristics, this paper studies the mechanism of cross-energy-form dynamic coupling, proposes the critical techniques of multi-energy hybrid simulation and verifies the effectiveness and accuracy of the methods through case tests.
引用
收藏
页数:14
相关论文
共 26 条
[1]  
Bai B., 2019, P IEEE PES ASIA PACI, DOI [10.1109/APPEEC45492.2019.8994575, DOI 10.1109/APPEEC45492.2019.8994575]
[2]   DYNAMIC BEHAVIOR OF AN ABSORPTION HEAT-PUMP [J].
BUTZ, D ;
STEPHAN, K .
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID, 1989, 12 (04) :204-212
[3]   A modular code for real time dynamic simulation of gas turbines in Simulink [J].
Camporeale, S. M. ;
Fortunato, B. ;
Mastrovito, M. .
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2006, 128 (03) :506-517
[4]   Nonlinear modeling of regenerative cycle micro gas turbine [J].
Duan, Jiandong ;
Sun, Li ;
Wang, Guanglin ;
Wu, Fengjiang .
ENERGY, 2015, 91 :168-175
[5]   Fuzzy Decision-Based Optimal Energy Dispatch for Integrated Energy Systems With Energy Storage [J].
Gao, Qiang ;
Zhang, Xiaodi ;
Yang, Mixia ;
Chen, Xianqing ;
Zhou, Hongqing ;
Yang, Qiang .
FRONTIERS IN ENERGY RESEARCH, 2021, 9
[6]  
Herold K.E., 1996, Absorption Chillers and Heat Pumps
[7]   A locational Marginal Price-Based Partition Optimal Economic Dispatch Model of Multi-Energy Systems [J].
Jin, Hongyang ;
Teng, Yun ;
Zhang, Tieyan ;
Wang, Zedi ;
Deng, Bofu .
FRONTIERS IN ENERGY RESEARCH, 2021, 9
[8]   MicroRNA-663 prevents monocrotaline-induced pulmonary arterial hypertension by targeting TGF-β1/smad2/3 signaling [J].
Li, Pan ;
Song, Jingwen ;
Du, He ;
Lu, Yuwen ;
Dong, Shaohua ;
Zhou, Siwei ;
Guo, Zhifu ;
Wu, Hong ;
Zhao, Xianxian ;
Qin, Yongwen ;
Zhu, Ni .
JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY, 2021, 161 :9-22
[9]  
Li S., 2020, IEEE POW ENER SOC GE, P1, DOI [DOI 10.1109/pesgm41954.2020.9281713, 10.1109/PESGM41954.2020.9281713]
[10]   Risk-Averse Coordinated Operation of a Multi-Energy Microgrid Considering Voltage/Var Control and Thermal Flow: An Adaptive Stochastic Approach [J].
Li, Zhengmao ;
Wu, Lei ;
Xu, Yan .
IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (05) :3914-3927