Modality analysis and algorithm design of stator short-circuit fault set for large compressed air energy storage generators

• Published in: Energy reports Vol. 9; pp. 58 - 65
• Main Authors: Zhang, Kanjun, Lu, Qinghui, Chen, Xiaoming, Yang, Zengli, Chen, Yongxin, Li, Hengxuan, Yin, Xianggen
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2023; Elsevier
• Subjects: Algorithm design; Compressed air energy storage generator; Failure modality analysis; Main protection; Stator winding structure; Stator winding structure; Algorithm design; Main protection; Compressed air energy storage generator; Failure modality analysis
• ISSN: 2352-4847; 2352-4847
• DOI: 10.1016/j.egyr.2022.10.357

Using salt caverns and caves to build compressed air energy storage power stations is an important development direction in the field of large-scale energy storage. With the continuous maturity of technology, compressed air energy storage generators have gradually developed into large-scale units with a single-unit capacity of 300 MW. Due to the increase of single-unit capacity, the internal short-circuit fault of the stator will cause very serious losses. In addition, the compressed air energy storage generator has complex operating conditions and is more prone to various internal short-circuit faults. In order to effectively ensure its safe and reliable operation, it is particularly necessary to study the effective main protection configuration scheme. The optimal design of the main protection configuration scheme is based on the analysis of the possible internal short-circuit faults of the generator. At present, the stator windings of large-scale compressed air energy storage generators generally adopt double-layer wave winding or double-layer tap winding structures. For these two winding structures, this paper analyzes in detail the characteristics of all fault modalities that may occur inside the large-capacity compressed air energy storage generator and designs a general algorithm that can form their respective fault sets. Finally, the application of the algorithm in the analysis of the stator fault modality in a compressed air energy storage power station is introduced.