Research on Fault Self-healing Method of Smart Distribution Network based on Binary Hybrid Algorithm
DOI: 10.23977/jaip.2017.21003 | Downloads: 25 | Views: 1530
Wang Baoyi 1, Qian Yalun 1, Zhang Shaomin 1
1 School of Control and Computer Engineering, North China Electric Power University, Baoding,Hebei Province,China
Corresponding AuthorWang Baoyi
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.
KEYWORDSFault 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.
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