Reconstruction of Distribution Network Based on Binary PSO and Optimal Flow Method

Abstract:

This paper introduces an algorithm based on improved binary PSO and optimal flow to solve the optimal network reconfiguration problem for power loss reduction. The PSO is a relatively new and powerful intelligence evolution method for solving optimization problems. It is a population-based approach that uses exploration of positive feedback as well as greedy search. The algorithm solves reconstruction of distribution network through two stages. Firstly, the binary PSO algorithm get the optimal subspace from the global space, secondly the optimal flow algorithm obtain the local optimal network structure in the subspace, finally through the PSO algorithm iterative, from the local optimal solution to search the global optimal solution. The results of calculation example show that the proposed algorithm is correct and fast.

• Periodical: Applied Mechanics and Materials (Volume 328)
• Pages: 271-275
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.328.271
• Online since: June 2013
• Authors: Shuo Liu, Biao Liu, Yin Jun Peng
• Keywords: Optimal Flow, Particle Swarm Optimization (PSO), Reconfiguration of Distribution Network

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