Home>Results

  • Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

[期刊论文]

Short circuit current peak prediction based on two-dimensional cloud model [基于二维云模型的短路电流峰值预测]

Share
Edit Delete 报错

author:

Chen, J. (Chen, J..) [1] | Miao, X. (Miao, X..) [2]

Indexed by:

Scopus PKU CSCD

Abstract:

The peak prediction of short circuit current is very important for the realization of selective protection of low voltage system, and it is still lack of in-depth study. By using the early detection technology of short circuit fault, a simulation model of single phase short circuit fault for low voltage system is established. The phase angle of short-circuit fault current is obtained, and the characteristics of short circuit current peak under different phase angles are analyzed. Through the historical data of short circuit fault current, the prediction rule based on conditional cloud generator is constructed, and the peak prediction model of short circuit current based on two-dimensional cloud is established. The experimental results show that the prediction method of short circuit current two-dimensional cloud model can accurately predict the fault current, which can lay the foundation for the realization of low voltage selective protection technology. ©2018, Power System Protection and Control Press. All right reserved.

Keyword:

Early fault detection; Low-voltage distribution system; Short-circuit current peak forecasting; Two-dimensional cloud model; Uncertainty reasoning

Community:

  • [ 1 ] [Chen, J.]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Miao, X.]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China

Reprint 's Address:

Show more details

Source :

Power System Protection and Control

ISSN: 1674-3415

Year: 2018

Issue: 23

Volume: 46

Page: 94-101

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

30 Days PV: 0

Affiliated Colleges:

Online/Total:71/10458517
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1