Application of an improved grey algorithm for short-circuit current online prediction in the low-voltage distribution system

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...

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Bibliographic Details
Published inProceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services pp. 410 - 413
Main Authors Zhao Jing, Chen Li-an
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Computer languages
grey power model
Mathematical model
online prediction
parameter optimization
short-circuit current
Switches
variable dimension progression
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ISBN9781612844909
1612844901
ISSN2166-9430
DOI10.1109/GSIS.2011.6044023

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Summary: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.
ISBN:9781612844909
1612844901
ISSN:2166-9430
DOI:10.1109/GSIS.2011.6044023