论文部分内容阅读
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。
Aiming at the shortcomings of particle swarm optimization (PSO), such as easy to be trapped in local disturbances and slow calculation speed of ant colony algorithm in power system fault recovery, a hybrid algorithm based on particle swarm optimization for fault reconfiguration of distribution network is proposed. Network reconfiguration tidal current calculation method and the objective function, according to the distribution network of the distribution network branch network packet, coding, and simplify the network; Finally, the use of particle swarm optimization, ant colony algorithm, hybrid algorithm, a total of three The algorithm is used to simulate the reconfiguration of the IEEE 33-bus system after the fault. The simulation results verify the effectiveness of the hybrid algorithm in reconfiguration of the distribution network.