基于改进选择性BPSO算法的配电网降损重构研究

为了降低配电网的有功功率损耗以及提高开关利用率,利用Sigmoid函数对二进制粒子群优化(BPSO)算法中的粒子位置更新进行改进,并通过添加修改曲线的参数对函数进行选择,提出了一种改进选择性二进制粒子群优化(IS-BPSO)算法来求解配电网降损重构问题.该算法以降低配电网的功率损耗为目标,有效地控制粒子的变化速率并提高种群的收敛性.通过33母线和94母线的配电网测试系统进行仿真模拟,结果表明,该算法具有很强的鲁棒性和全局寻优能力.

Research on Distribution Network Reducing Loss Reconfiguration Based on Improved Selective BPSO Algorithm

In order to reduce the active power loss and improve the switch utilization of distribution network, the particle position in the binary particle swarm optimization (BPSO) algorithm is improved by using the sigmoid function, and the function is selected by adding the parameters of the modified curve. An improved selective binary particle swarm optimization (IS-BPSO) algorithm is proposed to solve the problem of loss reduction and reconfiguration of distribution network. In order to reduce the power loss of distribution network, the algorithm can effectively control the change rate of particles and improve the convergence of population. The simulation results show that the algorithm has strong robustness and global optimization ability.