基于双重混合粒子群算法的配电网重构

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Abstract To further optimize the operation structure of the distribution network, by embedding the idea of mixing leapfrog in the particle swarm algorithm and combining with network structure simplification and branches grouping, this paper proposes a distribution network reconfiguration strategy based on the double hybrid particle swarm algorithm. In order to improve search efficiency and avoid algorithm premature, firstly, the network structure is simplified and decomposed into subsystems in order to reduce the coding dimension. Secondly, the particles are divided into different groups according to certain rules. A binary particle swarm optimization algorithm based on the idea of mixing leapfrog is used to search between groups; the historical optimal value wouldbe regrouped repeatedly; and a group binary particle swarm search algorithmproposed in this paper is used to search within the group. The proposed algorithm is tested on the IEEE33 nodes and 136 nodes distribution power system respectively, and compared with the genetic algorithm and a hybrid algorithm based on the genetic algorithm and the particle swarm algorithm. Simulation results illustrate that the proposed algorithm can determine the optimal configuration, which can significantly reduce system energy losses, with fast convergence rate.

Key words： Distribution network reconfiguration the idea of mixing leapfrog double hybrid particle swarm algorithm group binary particle swarm search algorithm

Received: 02 December 2014 Published: 12 July 2016

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TM727

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I11/120

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