Application of Family Eugenics Based Evolution Algorithms to Electric Power System Fault Section Estimation

In this paper, a new family eugenics based evolution (FEBE) theory is proposed to estimate the faulty section in power system. To apply the method to solve this estimation problem, orthogonal design technique is introduced into the course of offspring's breeding inside a family, so as to enhanc...

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Bibliographic Details
Published in2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific pp. 1 - 5
Main Authors Ying-Xin Wu, Xiang-ning Lin, Shi-hong Miao, Pei Liu, Dong-qing Wang, De-bin Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Artificial neural networks
Circuit breakers
Circuit faults
Convergence
Family eugenics based evolution (FEBE)
Fault section estimation
Optimization methods
Orthogonal design
Power system faults
Power system relaying
Power system reliability
Power system restoration
Power system simulation
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Summary:In this paper, a new family eugenics based evolution (FEBE) theory is proposed to estimate the faulty section in power system. To apply the method to solve this estimation problem, orthogonal design technique is introduced into the course of offspring's breeding inside a family, so as to enhance the behavior amelioration of divides against prematurity and quicken the convergence of low convergence speed at last period. The proposed method is versatile and can deal with uncertainties in fault section estimation, such as the cases with failure operations of relays and circuit breakers, or multiple faults at the same time. Test results for a sample power system have shown that the FEBE approach developed for fault-section estimation is feasible and efficient
ISBN:0780391144
9780780391147
ISSN:2160-8636
2160-8644
DOI:10.1109/TDC.2005.1546813