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Stator Single-Line-to-Ground Fault Protection for Bus-Connected Powerformers Based on S-Transform and Bagging Ensemble Learning

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成果类型:
期刊论文
作者:
Wang, Yuanyuan*;Guo, Yongsheng;Zeng, Xiangjun;Chen, Jun;Kong, Yang;...
通讯作者:
Wang, Yuanyuan
作者机构:
[Wang, Yuanyuan; Sun, Shanfeng; Kong, Yang; Chen, Jun; Zeng, Xiangjun; Guo, Yongsheng] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China.
通讯机构:
[Wang, Yuanyuan] C
Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China.
语种:
英文
关键词:
bagging ensemble learning;Powerformer;protection scheme;S-transform;stator single-line-to-ground fault
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2020
卷:
8
页码:
88322-88332
基金类别:
This work was supported in part by the National Natural Science Foundation of China under Grant 51777014, in part by the Hunan Provincial Key Research and Development Program under Grant 2018GK2057, in part by the Educational Commission of Hunan Province of China under Grant 18A124, in part by the Changsha Science and Technology Project under Grant kq1901104, and in part by the Hunan Graduate Research and Innovation Project under Grant CX20190686 and Grant CX2018B556.
机构署名:
本校为第一且通讯机构
院系归属:
电气与信息工程学院
摘要:
In order to achieve selective ground fault protection for bus-connected Powerformers and improve the reliability of the protection scheme, this paper presents a novel stator single-line-to-ground (SLG) fault protection scheme for bus-connected Powerformers based on S-transform (ST) and bagging ensemble learning algorithm. The scheme utilizes ST to decompose the zero-sequence current signals acquired from the Powerformer terminal to obtain the amplitude-time-frequency matrix. Then, fault features extraction is presented, and three features inclu...

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