A Review of Flywheel Energy Storage System Technologies

被引:13
|
作者
Xu, Kai [1 ]
Guo, Youguang [1 ]
Lei, Gang [1 ]
Zhu, Jianguo [2 ]
机构
[1] Univ Technol Sydney, Sch Elect & Data Engn, Ultimo, NSW 2007, Australia
[2] Univ Sydney, Sch Elect & Informat Engn, Camperdown, NSW 2006, Australia
关键词
flywheel energy storage systems (FESSs); flywheel rotors; flywheel motors; power electronic converters; machine learning; HOMOPOLAR INDUCTOR MACHINE; PERMANENT-MAGNET MACHINE; MODEL-PREDICTIVE CONTROL; WIND-POWER-GENERATION; DC-LINK VOLTAGE; DESIGN OPTIMIZATION; CONTROL STRATEGY; SHORT-TERM; MANAGEMENT; CONVERTER;
D O I
10.3390/en16186462
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
The operation of the electricity network has grown more complex due to the increased adoption of renewable energy resources, such as wind and solar power. Using energy storage technology can improve the stability and quality of the power grid. One such technology is flywheel energy storage systems (FESSs). Compared with other energy storage systems, FESSs offer numerous advantages, including a long lifespan, exceptional efficiency, high power density, and minimal environmental impact. This article comprehensively reviews the key components of FESSs, including flywheel rotors, motor types, bearing support technologies, and power electronic converter technologies. It also presents the diverse applications of FESSs in different scenarios. The progress of state-of-the-art research is discussed, emphasizing the use of artificial intelligence methods such as machine learning, digital twins, and data-driven techniques for system simulation, fault prediction, and life-assessment research. The article also addresses the challenges related to current research and the application of FESSs. It concludes by summarizing future directions and trends in FESS research, offering valuable information for further advancement and improvement in this field.
引用
收藏
页数:32
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