首页 | 本学科首页   官方微博 | 高级检索  
     

改进遗传算法优选分形插值参数的短期负荷预测
引用本文:徐姣,李如琦,贝宇,魏立,褚金胜.改进遗传算法优选分形插值参数的短期负荷预测[J].广西电力,2009,32(3):1-4,9.
作者姓名:徐姣  李如琦  贝宇  魏立  褚金胜
作者单位:1. 广西大学电气工程学院,广西,南宁,530004
2. 桂林供电局,广西,桂林,541004
摘    要:分形插值方法的参数对插值的结果影响很大.在基于分形的电力系统负荷预测中,如果得不到合适的分形插值参数,将会影响到预测的精度.针对传统的分形插值方法很难确定分形参数,文章对基本的遗传算法进行了改进,并将其应用于分形插值的垂直尺度因子的寻优中,实现预测日负荷曲线的最佳拟合.算例结果表明,利用改进的遗传算法进行分形插值参数寻优的方法提高了负荷预测的精度.

关 键 词:分形插值  参数寻优  改进遗传算法  短期负荷预测  电力系统

Short-term Load Forecasting Based on Fractal Interpolation Parameter Optimization by Modified Genetic Algorithm
XU Jiao,LI Ru-qi,BEI Yu,WEI Li,CHU Jin-sheng.Short-term Load Forecasting Based on Fractal Interpolation Parameter Optimization by Modified Genetic Algorithm[J].Guangxi Electric Power,2009,32(3):1-4,9.
Authors:XU Jiao  LI Ru-qi  BEI Yu  WEI Li  CHU Jin-sheng
Affiliation:1.College of Electrical Engineering;Guangxi University;Nanning 530004;China;2.Guilin Power Supply Bureau;Guilin 541004;China
Abstract:Parameters of fractal interpolation method have great influence on interpolation results.Without proper fractal interpolation parameters,the precision of power system load forecasting based on fractal method will be doubtful.According to the problem that traditional fractal interpolation method is hard to obtain proper fractal parameters,a modified genetic algorithm is proposed and applied to the optimization of vertical scaling factors of fractal interpolation, which realizes the optimal fitting of day loa...
Keywords:fractal interpolation  parameter optimization  modified genetic algorithm  short-term load forecasting  power system  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号