基于粒子群蚁群混合算法的配电网故障后重构研究

针对粒子群算法在配电网故障恢复中容易陷于局部干扰和蚁群算法计算速度慢的缺点,提出了适用于配电网故障后重构的基于粒子群蚁群的混合算法,确定了配电网重构时的潮流计算方法和目标函数,根据配电网的网孔对配电网的支路进行分组、编码,并简化网络;最后采用粒子群算法、蚁群算法、混合算法共三种算法对IEEE33节点系统进行了故障后的重构仿真分析,仿真结果验证了混合算法在配电网故障后重构应用中的有效性。

Research on Fault Reconfiguration of Distribution Network Based on Hybrid Particle Swarm Optimization and Ant Colony Algorithm

Aiming at the disadvantages that the particle swarm optimization is easy to fall into the local interference and the ant colony algorithm has slow calculating speed in the fault recovery of distribution network, hybrid algorithm based the particle swarm optimization and ant colony algorithm is proposed to reconstruct the fault of distribution network. The power flow calculation method and the objective function of the distribution network reconfiguration are determined. The branch of the distribution network are grouped and coded, and then the network is simplified. Finally, the reconstructed simulation of the IEEE 33-bus system is done by using the three algorithms of particle swarm optimization, ant colony optimization and hybrid algorithm. The simulation results verify the validity of the hybrid algorithm in the reconstruction application after distribution network fault.