改进的分布估计算法在配电网故障定位中的应用

doi:10.3969/j.issn.0255-8297.2017.01.003

Abstract

Abstract:

In locating fault sections on the feeder of a distribution network, artifcial intelligence algorithms have shortcomings such as large initial population, too many iterations and premature convergence.Thus, an algorithm for distribution estimation based on bacterial foraging (BF-EDA) is proposed.To enhance local optimization capability and avoid premature estimation of distribution algorithm (EDA), bacterial foraging behavior is introduced into the EDA.Experimental results show that the BF-EDA can effectively locate faults in a multiple source ring-open distribution network with good accuracy, rapidity and fault tolerance.

Key words: estimation of distribution algorithm (EDA), bacterial foraging, distribution network, fault location

CLC Number:

TM727

WANG Si-ming, TONG An-rong. Improved Estimation of Distribution Algorithm (EDA) for Locating Fault Sections in Distribution Networks[J]. Journal of Applied Sciences, 2017, 35(1): 21-30.

References

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Improved Estimation of Distribution Algorithm (EDA) for Locating Fault Sections in Distribution Networks

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