SHU Dasong, HUANG Zhixiong, LI Junye, ZOU Xiaoyang. Application of Multi-agent Particle Swarm Algorithm in Distribution Network Reconfiguration[J]. Chinese Journal of Electronics, 2016, 25(6): 1179-1185. doi: 10.1049/cje.2016.10.015
 Citation: SHU Dasong, HUANG Zhixiong, LI Junye, ZOU Xiaoyang. Application of Multi-agent Particle Swarm Algorithm in Distribution Network Reconfiguration[J]. Chinese Journal of Electronics, 2016, 25(6): 1179-1185.

# Application of Multi-agent Particle Swarm Algorithm in Distribution Network Reconfiguration

##### doi: 10.1049/cje.2016.10.015
Funds:  This work is supported by the National Natural Science Foundation of China (No.61203031).
• Rev Recd Date: 2014-09-09
• Publish Date: 2016-11-10
• An improved algorithm based on Multi-agent particle swarm (MAS) is proposed to solve the distribution network reconfiguration problem in this paper. The approach is a combination of the learning, competition and cooperation mechanism of multi-agent technology and the strategies of Particle swarm optimization (PSO) algorithm. Using the Von Neumann topology structure in PSO algorithm, each particle represents an agent; each agent not only competes and cooperates with its neighborhood, but also absorbs the evolutionary mechanism of PSO algorithm, so as to share the information with the agent of global optimal. The rules of particle renovating reduce unfeasible solution in the process of particle renovating, and it is able to converge to global optimal accurately and quickly. Test on the IEEE 16-node, 32-node and 69-node system shows both a rapid convergence and a good robustness of this proposed approach.
•  F.F. Cui and Z.L. Lv, "Survey of study on algorithms about distribution network reconfiguration", Journal of Anhui Electrical Engineering Professional Technique College, No.3, pp.57-61, 2013. (in Chinese) D. Zhang, L.C. Zhang and Z.C. Fu, "A quick branch-exchange algorithm for reconfiguration of distribution networks", Power System Technology, Vol.29, No.9, pp.82-85, 2005. (in Chinese) P.X. Bi, J. Liu and C.X. Liu,"A refined genetic algorithm for power distribution network reconfiguration", Automation of Electric Power Systems, Vol.2, No.26, pp.57-61, 2002. (in Chinese). G.J. Chen, K.K. Li and Q. Tang, "A tabu search approach to distribution network reconfiguration for loss reduction", Proceedings of the CSEE, Vol.10, No.22, pp.28-33, 2002. (in Chinese). Z.F. Liu, S.Y. Ge and Y.X. Yu, "A refined branch-exchange algorithm for distribution networks reconfiguration", Proceedings of the CSEE, Vol.15, No.25, pp.73-78, 2005. (in Chinese). L.C. Wang, D. Liang, D.H. Yu, et al., "Distribution network reconfiguration based on genetic/tabu search hybrid algorithm", Power System Protection and Control, Vol.6, No.37, pp.27-31, 2009. (in Chinese). Z.K. Li and X.Y. Chen, "A hybrid particle swarm optimization approach for distribution network reconfiguration problem", Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, Pittsburgh, PA, pp.1-7, 2008. R. Qiu, X. Lv and S. Chen, "A survey on artificial intelligence algorithm for distribution network reconfiguration", Robotic Welding, Intelligence and Automation, Springer Berlin Heidelberg, pp.497-504, 2011. D. Karaboga, B. Gorkemli, C. Ozturk, et al., "A comprehensive survey: Artificial bee colony (ABC) algorithm and applications", Artificial Intelligence Review, Vol.42, No.1, pp.21-57, 2014. E.J. Solteiro Pires, J. boaventura Cunha, Luis Mendes, et al., "Particle swarm optimization with fractional-order velocity", Nonlinear Dynamic, Vol.61, No.1, pp.295-301, 2010. T. Yang and H.S. Su, "Improved tabu search-particle swarm optimization algorithm for reconfiguration of distribution network", Science Technology and Engineering, Vol.31, No.1, pp.8221-8225, 2012. (in Chinese). Ling Zhang, Lin Cai and Li Wang, "Reconfiguration of aircraft distributed power distribution system based on multi-agent", Springer-Verlag Berlin Heidelberg, Vol.122, pp.443-450, 2012. N. Ben, H.L. Huang, L.J. Tan, et al., "Multi-swarm particle swarm optimization with a center learning strategy", SpringerVerlag Berlin Heidelberg, Vol.7928, pp.72-78, 2013. B. Zhao and Y.J. Cao, "A multi-agent particle swarm optimization algorithm for reactive power optimization", Proceedings of the CSEE, Vol.5, No.25, pp.1-7, 2005. (in Chinese). J.J. Zhao, X. Li, Y. Peng, et al., "A comprehensive optimization algorithm for injection power of distributed generation and distribution network reconfiguration based on particle swarm optimization", Power System Technology, Vol.17, No.33, pp.162-166, 2009. (in Chinese). Sedighizadeh M, Dakhem M, Sarvi M, et al., "Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization", International Journal of Energy and Environmental Engineering, Vol.73, No.5, pp.1-11, 2014.

### Catalog

###### 通讯作者: 陈斌, bchen63@163.com
• 1.

沈阳化工大学材料科学与工程学院 沈阳 110142