【摘要】 提出了利用改进粒子群-差分算法对配电网中电容器的最合适补偿位置和最佳的补偿容量进行优化计算。为了改善粒子群优化算法在迭代后期易于陷入局部极值的缺点,对其关键参数进行改进,将改进后的粒子群算法和差分算法相结合提高了粒子的搜索精度和全局搜索能力。通过对IEEE33节点配电系统进行仿真,验证了改进粒子群-差分算法在配电网电容器优化配置过程中的有效性和实用性。更多还原

【Abstract】 An improved particle swarm optimization-difference evolution( IPSO-DE) algorithm was proposed to optimize both compensation capacity and appropriate compensation location of the capacitor in the distribution network. For the purpose of improving PSO’s shortcoming of easily falling into the local extremum,the key parameters were improved and the improved IPSO-DE algorithm can improve particles’ searching precision and global search ability. Simulating IEEE33 nodes of the distribution system in Matlab verifies IPSO-DE algorithm’s effectiveness and practicality in optimal allocation of capacitors in the distribution network.更多还原