首页 | 本学科首页   官方微博 | 高级检索  
     

线性回归分析法和进化规划法在幂函数负荷模型辨识精度中的比较研究
引用本文:曾庆峰,侯昭湖,卢江.线性回归分析法和进化规划法在幂函数负荷模型辨识精度中的比较研究[J].广东电力,2011,24(6):5-9,17.
作者姓名:曾庆峰  侯昭湖  卢江
作者单位:内蒙古电力(集团)有限责任公司;内蒙古华电辉腾锡勒风力发电有限公司;
摘    要:针对传统的线性回归分析法在幂函数参数辨识寻优时容易陷入局部极小值,不能有效克服负荷建模中存在的非线性和不连续性等不足,分析了进化规划在幂函数参数辨识中的应用,通过仿真算例对上述两种方法的辨识精度进行比较分析,结果表明进化规划能够实现全局搜索,适合解决多极值的非线性优化问题.

关 键 词:负荷建模  幂函数模型  参数辨识  线性回归分析法  进化规划法

Study and Comparison of Linear Regression Analysis Method and Evolutionary Programming Method in Identification Accuracy of Power Function Load Model
ZENG Qing-feng,HOU Zhao-hu,LU Jiang.Study and Comparison of Linear Regression Analysis Method and Evolutionary Programming Method in Identification Accuracy of Power Function Load Model[J].Guangdong Electric Power,2011,24(6):5-9,17.
Authors:ZENG Qing-feng  HOU Zhao-hu  LU Jiang
Affiliation:ZENG Qing-feng1,HOU Zhao-hu2,LU Jiang2(1.Inner Mongolia Power(Group) Co.,Ltd.,Hohehot,Inner Mongolia 010020,China,2.Inner Mongolia Huadian Huitengxile Wind Power Co.,China)
Abstract:The conventional linear regression analysis method may easily lapse into local minimum points in the condition of optimizing power function parameter identification and it can not recover such defects as nonlinearity and discontinuity in modeling.The article analyzes application of evolutionary programming in power function identification and comparatively analyzes identification accuracy of the above two methods by simulation examples.The result makes it clear that global search can be accomplished by evol...
Keywords:load modeling  power function model  parameter identification  linear regression analysis method  evolutionary programming  
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