Bacterial Foraging Optimization Algorithm with Particle Swarm Optimization Strategy for Distribution Network Reconfiguration
Distribution network reconfiguration for loss minimization is a complex, large-scale combinatorial optimization problem. In this paper, a novel method called bacterial foraging optimization algorithm with particle swarm optimization strategy (BF-PSO) algorithm is applied to solve this problem. To verify the effectiveness of the proposed method, the optimization calculations of IEEE 69-bus testing system by the presented method are conducted and the calculation results are compared with pertinent literatures. Simulation results show that the proposed algorithm possesses fast convergence speed while the quality of solution and stability is ensured.
Keywordspower system distribution network reconfiguration power loss reduction bacterial foraging optimization algorithm BF-PSO algorithm
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- 1.Deng, Q., Sun, C.-X., Zhou, Q., Zhang, X.-X., Cheng, Q.-Y.: Realization of Distribution Power Recoering with Dynamic Programming. Journal of Chongqing University (Natural Science Edition) 29(3), 40–44 (2006)Google Scholar
- 2.Tang, Q.-G., Lin, J.-D.: Reconfiguration of Distribution Network Algorithm of Power Loss Reduction based on Heuristic Search. RELAY 35(14), 10–12 (2007)Google Scholar
- 5.Sanjib, G., Sahoo, N.C., Das, D.: Multi-objective Expansion Planning of Electrical Distribution Networks Using Comprehensive Learning Particle Swarm Optimization. In: Advances in Soft Computing, vol. 58, pp. 193–202 (2009)Google Scholar
- 6.Tang, B., Luo, A., Wang, J.: The Improved Encoding Strategy of Genetic Algorithm and Its Application in Reconfiguration of Distribution Networks. RELAY 32(13), 35–39 (2004)Google Scholar
- 7.Zhang, Z.-H., Li, M.-L., Xiong, N., Zhang, W.-C.: An Improved Tabu Search for Reconfiguration of Distribution Systems. RELAY 35(10), 41–44 (2007)Google Scholar
- 8.Lu, Z.-G., Yang, G.-L., Zhang, X.-H., Wen, Y.: Reconfiguration of Distribution Network based on Improved Particle Swarm Optimization. Power System Protection and Control 37(7), 30–34 (2007)Google Scholar
- 9.Yao, L.-X., Ren, Y.-N., Fei, J.-A.: Ant Colony System Algorithm for Distribution Network Reconfiguration. Proceedings of the CSU-EPSA 19(6), 35–39 (2007)Google Scholar
- 10.Bi, P.-X., Liu, J., Liu, C.-X., Zhang, W.-Y.: A Refined Genetic Algorithm for Power Distribution Network Reconfiguration. Automation of Electronic Power Systems, 57–61 (2002)Google Scholar
- 11.Shen, H., Zhu, Y.L., Zhou, X.M., Guo, H.F., Chang, C.G.: Bacterial foraging optimization algorithm with particle swarm optimization strategy for global numerical optimization. In: 2009 World Summit on Genetic and Evolutionary Computation, pp. 497–504 (2009)Google Scholar
- 12.Korani, W.: Bacterial foraging oriented by particle swarm optimization strategy for PID tuning. In: GECCO 2008: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008, pp. 1823–1826 (2008)Google Scholar