Author(s)

Wang Baoyi ¹, Qian Yalun ¹, Zhang Shaomin ¹

Affiliation(s)

¹ School of Control and Computer Engineering, North China Electric Power University, Baoding,Hebei Province,China

Corresponding Author

Wang Baoyi

ABSTRACT

In this paper, the mathematical model of fault self-healing with the minimum net loss and node voltage deviation is proposed. Then, against the deficiencies of the fruit fly optimization algorithm, combine binary quantum particle swarm algorithm and binary fruit fly optimization algorithm to produce a binary hybrid algorithm for fault self-healing process. Finally, the experiment proved that the algorithm has faster convergence rate and stronger global optimization ability.

KEYWORDS

Fault Self-healing, Smart Distribution Network, Binary Quantum Particle Swarm Algorithm, Binary Fruit Fly Optimization Algorithm, Binary Hybrid Algorithm

CITE THIS PAPER

Baoyi, W., Yalun, Q.,Shaomin Z. (2017) Research on Fault Self-healing Method of Smart Distribution Network Based on Binary Hybrid Algorithm. Journal of Artificial Intelligence Practice (2017) Vol.2, Num.1: 20-25.

REFERENCES

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[9] Xu Qiang,Guo Haibin,Feng Xugang et al.Research on self-healing strategy of smart distribution grid based on improved ant colony algorithm[C].2016 Chinese Control and Decision Conference (CCDC),2016:390-395.
[10] Li Yang. Research on Reactive Power Optimization Based on Multi - Agent Quantum Particle Swarm Optimization [D].GuangDong University of Technology, 2014.
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