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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Published in | Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services pp. 410 - 413 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2011
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Subjects | |
Online Access | Get full text |
ISBN | 9781612844909 1612844901 |
ISSN | 2166-9430 |
DOI | 10.1109/GSIS.2011.6044023 |
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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. |
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AbstractList | 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. |
Author | Zhao Jing Chen Li-an |
Author_xml | – sequence: 1 surname: Zhao Jing fullname: Zhao Jing email: jzhao@xmut.edu.cn organization: Dept. of Electron. & Electr. Eng., Xiamen Univ. of Technol., Xiamen, China – sequence: 2 surname: Chen Li-an fullname: Chen Li-an email: chenla@xmut.edu.cn organization: Dept. of Electron. & Electr. Eng., Xiamen Univ. of Technol., Xiamen, China |
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Snippet | According to the characteristics of the short-circuit current and its detection in a low-voltage distribution system, an improved variable dimension... |
SourceID | ieee |
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SubjectTerms | Computer languages grey power model Mathematical model online prediction parameter optimization short-circuit current Switches variable dimension progression |
Title | Application of an improved grey algorithm for short-circuit current online prediction in the low-voltage distribution system |
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