Study of Reconfiguration Algorithm in Distribution System Based on Hopfield Network

Abstract:

In accordance with the characteristic of radial running an algorithm for distribution network reconfiguration based on Hopfield neural network is put forward. The in-degree of each node is determined by Hopfield neural network, it is determined whether the lines run according to the in-degree of the nodes, and the state of each loop switch is determined according to whether the lines run, and thus the distribution network reconfiguration scheme is determined finally. The energy function of the neural network and its solution method are presented. In the energy function are considered the radial running of distribution network, the lowest distribution network loss and no loop switch in some lines. The IEEE distribution network structure with three power sources obtained by the algorithm is basically consistent to that obtained by genetic algorithm, but the time spent using the former is shorter than that the latter.

• Periodical: Applied Mechanics and Materials (Volumes 241-244)
• Pages: 1900-1903
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.241-244.1900
• Online since: December 2012
• Authors: Na Wei, Zhe Cheng, Xiao Meng Wu
• Keywords: Distribution Network Reconfiguration, Energy Function, Hopfield Neural Network

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