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Research on Fault Self-healing Method of Smart Distribution Network based on Binary Hybrid Algorithm

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DOI: 10.23977/jaip.2017.21003 | Downloads: 28 | Views: 1907


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 Author

Wang 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.


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


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.


[1] Li Dapeng. Study of Self-healing Techniques for Smart Distribution Networks with DGs[D]. Tianjin University, 2012.
[2] Zhenzhi Lin, Fushuan Wen, Yusheng Xue. A Restorative Self-Healing Algorithm for Transmission Systems Based on Complex Network Theory [J].IEEE Transactions on Smart Grid, 2016, 7: 2154-2162.
[3] Pang Qingle, Gao Houlei, Li Tianyou. Load Balancing Based Fault Service Restoration for Smart Distribution Grid[J]. Power System Technology, 2013, 02: 342-348.
[4] Fazel Abbasi and Seyed Mehdi Hosseini. Optimal DG allocation and sizing in presence of storage systems considering network configuration effects in distribution systems [J].IET Generation, Transmission & Distribution, 2016, 10: 617-624.
[5] Liu Kai, Li Wenpei, Cheng Qianshan et al. Self-healing of smart distribution network based on heuristic rules and artificial immune [J].Journal of Wuhan University (Engineering Science), 2016,02: 218-222. 
[6] XIANG Yinxing, WU Wenxuan, LIN Han, and et al. Self-healing control and reconstruction optimization of smart grid with distributed generation[J]. Electrical Applications, 2015, 18: 68-71.
[7] Yao Yuhai, Wang Zengping, Guo Kunya et al. Multi-objective binary particle swarm optimization algorithm based on E-dominated solution for fault recovery of distribution network [J]. Power System Protection and Control, 2014, 23: 76-81.
[8] Zhang Tao, Shi Suyi, Xu Xueqin. Reconstruction of distribution network with distribution generation based on binary quantum particle swarm optimization [J].Power System Protection and Control, 2016 , 04: 22-28.
[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.
[11] Zhang Mingguang, Wang Shiliang. Multi-objective Optimization Planning of Power Grid Based on BQPSO [J]. Computer Engineering and Applications, 2015,18: 266-270.
[12] Wang Shiliang. Multi-objective optimization planning of smart grid based on improved quantum particle swarm optimization [D]. Lanzhou University of Technology, 2014.
[13] Ling Feihong, Xue Yuqiang, Lin Minghan. Application of FOA algorithm in distribution network reconfiguration [J]. Electrical switch, 2016, 54 (02): 87-90 + 96 [2017-09-27].

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