基于Sobol序列的量子粒子群求解电力经济调度  

Quantum-Behaved Particle Swarm Optimization Based on Sobol Sequence Solving Economic Power Dispatch

作　　者：许磊[1] 张兰[2] 

机构地区：[1]西安航空职业技术学院航空材料工程系,西安710089 [2]西安航空职业技术学院基础部,西安710089

出　　处：《西南师范大学学报（自然科学版）》2013年第4期98-101,共4页Journal of Southwest China Normal University(Natural Science Edition)

摘　　要：Sobol序列是准随机序列的一种,它与均匀分布的区别在于采样更均匀,为了增加种群多样性,提出了基于Sobol随机序列的量子粒子群,并对边界粒子进行变异,用于求解电力系统经济调度问题.通过对13个机组的数值仿真表明,该算法在收敛精度和迭代速度上有较好的效果.Sobol sequence is a quasi-random sequence, and the difference between Sobol sequence and the u-niform distribution is that Sobol sequence has more uniform sampling. In order to increase the diversity of particles, we introduce a quantum-behaved particle swarm optimization with a bounded mutation operator based on random Sobol sequence. Then we apply this algorithm to a 13-unit system, and the experimental results indicate that the algorithm is characterized by high speed, high accuracy and good convergence.

关 键 词：量子粒子群 经济调度 准随机序列 Sobol序列 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]