A review of system modeling, assessment and operational optimization for integrated energy systems

被引：38
|
作者：
Zhao, Jun [1 ,2 ]
Chen, Long [1 ,2 ]
Wang, Yinan [3 ]
Liu, Quanli [1 ,2 ]
机构：
[1] Dalian Univ Technol, Minist Educ, Key Lab Intelligent Control & Optimizat Ind Equip, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Sch Control Sci & Engn, Dalian 116024, Peoples R China
[3] Stanford Univ, Dept Aeronaut & Astronaut, Stanford, CA 94305 USA
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2021年 / 64卷 / 09期
基金：
国家重点研发计划;
关键词：
IES; system modeling; assessment; operational optimization; data-driven; POWER POINT TRACKING; NATURAL-GAS; RELIABILITY EVALUATION; FAULT-DIAGNOSIS; NETWORKED MICROGRIDS; MANAGEMENT-SYSTEM; DEMAND RESPONSE; FLOW-ANALYSIS; COORDINATED OPERATION; RESILIENCE ASSESSMENT;
D O I：
10.1007/s11432-020-3176-x
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Building an efficient, safe, and sustainable energy system has been listed as one of the national energy development strategies in China. Through unified management and optimization for the processes of energy generation, transmission, conversion, and distribution, the integrated energy system (IES) can meet the diversified demands on energy with high efficiency and effectiveness, providing the basis to form a low-carbon sustainable social development mode. This research reviews the studies and issues of system modeling, assessment, and operational optimization on the IES. The ongoing problems that need further investigation are also presented. Besides, research of data-driven approaches on the IES will be discussed, based on which the future research directions are suggested here.
引用
收藏
页数：23
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