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 :
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