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基于SA-PSO的配电网电容器优化配置
引用本文:杨洪,罗滇生,霍明.基于SA-PSO的配电网电容器优化配置[J].电力系统及其自动化学报,2009,21(3).
作者姓名:杨洪  罗滇生  霍明
作者单位:湖南大学电气与信息工程学院,长沙,410082
摘    要:应用模拟退火粒子群优化算法(simulated annealing particle swarm optimization,SA-PSO)求解配电网电容器优化配置问题,在同时考虑系统有功损耗费用和补偿电容器购买、安装和维护费用的基础上,建立了相应的数学模型.为了改善算法摆脱局部极值点的能力,提高算法的收敛速度和精度,采用基于适应度值的动态阈值来控制实施局部搜索的粒子数目.将其应用到一个IEEE 33节点配电网的电容器优化配置中,结果表明,模拟退火粒子群优化算法具有合理性和可行性.

关 键 词:配电网  模拟退火粒子群算法  离散值  电容器  优化配置

Optimal Configuration of Capacitors for Radial Distribution Network Based on Simulated Annealing Particle Swarm Optimization Algorithm
YANG Hong,LUO Dian-sheng,HUO Ming.Optimal Configuration of Capacitors for Radial Distribution Network Based on Simulated Annealing Particle Swarm Optimization Algorithm[J].Proceedings of the CSU-EPSA,2009,21(3).
Authors:YANG Hong  LUO Dian-sheng  HUO Ming
Affiliation:College of Electrical and Information Engineering;Hunan University;Changsha 410082;China
Abstract:The simulated annealing particle swarm optimization(SA-PSO)algorithm is introduced to solve the problem of optimal configuration of capacitors in radial distribution network.On the basis of simultaneously taking account of the cost for network real power losses,the purchasing cost,the installation cost and the maintenance cost of compensating capacitors,a corresponding mathematical model is established.A threshold based on fitness is adopted to avoid the common defect of premature convergence and improve th...
Keywords:distribution network  simulated annealing particle swarm optimization(SA-PSO)  discrete value  capacitors  optimal configuration  
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