DocumentCode
1725519
Title
Application of an improved grey algorithm for short-circuit current online prediction in the low-voltage distribution system
Author
Zhao Jing ; Chen Li-an
Author_Institution
Dept. of Electron. & Electr. Eng., Xiamen Univ. of Technol., Xiamen, China
fYear
2011
Firstpage
410
Lastpage
413
Abstract
According to the characteristics of the short-circuit current and its detection in a low-voltage distribution system, an improved variable dimension progression prediction method, which is based on grey power model, is proposed in this paper. The time response function of this model is optimized as well. Moreover, the algorithm is employed to predict the actual short circuit current on line. The simulation results indicate the feasibility and effectiveness of the proposed algorithm.
Keywords
optimisation; power distribution; short-circuit currents; grey power model; improved grey algorithm; low-voltage distribution system; parameter optimization; short-circuit current online; time response function; variable dimension progression prediction method; Computer languages; Mathematical model; Switches; grey power model; online prediction; parameter optimization; short-circuit current; variable dimension progression;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-61284-490-9
Type
conf
DOI
10.1109/GSIS.2011.6044023
Filename
6044023
Link To Document