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Bacterial Foraging Optimization Algorithm with Particle Swarm Optimization Strategy for Distribution Network Reconfiguration

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Advances in Swarm Intelligence (ICSI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6145))

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Abstract

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.

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© 2010 Springer-Verlag Berlin Heidelberg

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Zang, T., He, Z., Ye, D. (2010). Bacterial Foraging Optimization Algorithm with Particle Swarm Optimization Strategy for Distribution Network Reconfiguration. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13495-1_45

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  • DOI: https://doi.org/10.1007/978-3-642-13495-1_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13494-4

  • Online ISBN: 978-3-642-13495-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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