摘要
针对配电网谐波存在的特点,以配电网各节点谐波电压含有率和畸变率满足限值为要求,本文提出了一种基于改进的模拟退火-粒子群优化算法来配置滤波装置,优化算法中引进一个自适应惯性因子和存储器,能在保证良好的搜索精度时也大大加快算法的收敛速度。仿真结果表明,通过该优化算法提供的滤波装置配置方案能达到较好的滤波效果和经济效益,具有一定工程应用价值。
Considering the characteristics of the randomness and relevance of harmonics currents injected by the non-linear load in each node,in order to ensure the harmonic ratio of voltage and distortion to meet the threshold requirement to a certain level,a method to configure the filter device is put forward,which is based on improved simulated annealing-particle swarm optimization algorithm.The introduction of an adaptive algorithm inertia factor and memory in this optimization algorithm can ensure a good accuracy when the search greatly accelerates the convergence speed.Simulation results show that the filter device configuration scheme by the algorithm can optimize the installation location and the corresponding parameters of passive filter and active power filter in distribution network,reduce the system losses,keep the voltage,power factor within a prescribed extent,make the system energy cost and the investment cost of filtering devices minimized,achieve a better filtering result and economic benefits,with certain value in engineering applications.
出处
《电工电能新技术》
CSCD
北大核心
2011年第3期84-88,共5页
Advanced Technology of Electrical Engineering and Energy
基金
2010年广东省科技计划项目重大科技专项(2010A080804023)
2010年国家电网公司科技项目资助(渝电科技35#)
2010年"可再生能源电力技术"湖南省重点实验室开放基金项目(2010KFJJ009)
2010年电力与交通安全监控及节能教育部工程研究中心基金资助
关键词
配电网
模拟退火-粒子群算法
谐波
滤波装置
distribution system
simulated annealing-particle swarm optimization
harmonics
filter device
