摘要
以系统的有功网损和投资设备的综合费用最小作为优化目标设计了基于拓扑环的小生境粒子群优化算法。首先对粒子进行编号,选取相邻几个粒子形成局部粒子群;然后将粒子速度迭代计算中的全局最优用邻域最优代替。通过这种控制信息传播速度的方式,避免了由于粒子间信息传播过快而陷入局部最优,同时形成了稳定的小生境,提高了对问题的求解能力。系统算例结果表明,该算法在技术上可行且效果较好。
In this paper,an objective function based on the topological ring niche local-best particle swarm optimization（TRNLPSO） is designed which takes the cost of the investment in equipment and the active power loss of system as optimization object.Firstly,the numbers to each particle are given,several adjacent particles are selected to form local particle group.Then,the global optimum value is replaced by the local optimum value.By this way,it can avoid being dropped into the local-best caused by controlling the velocity of the particles.Meanwhile it forms stable niches and obtains the effective global optimal.The simulation results show that the method is technically feasible and effective.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2014年第5期1-6,共6页
Proceedings of the CSU-EPSA
基金
国家自然科学基金项目(60504010)
国家高新技术863发展计划项目(2008AA04Z129)
流程工业综合自动化国家重点实验主观开放课题基金资助项目
关键词
配电网
无功优化
拓扑环
小生境
粒子群算法
distribution system
reactive power optimization
topological ring
niche
particle swarm optimization
