首页 | 本学科首页   官方微博 | 高级检索  
     

基于实测响应空间的负荷动特性分类原理与方法
引用本文:李欣然,林舜江,刘杨华,陈辉华,唐外文. 基于实测响应空间的负荷动特性分类原理与方法[J]. 中国电机工程学报, 2006, 26(8): 0-44
作者姓名:李欣然  林舜江  刘杨华  陈辉华  唐外文
作者单位:1. 湖南大学电气与信息工程学院,湖南省,长沙市410082
2. 湖南省电力调度通信中心,湖南省,长沙市,410007
基金项目:高等学校骨干教师计划项目(教计司[2002]65号),湖南省教育厅重点项目(湘教通[2001]197号)。
摘    要:负荷特性的分类与综合是解决负荷建模中时变性难题的有效途径。于是基于随机过程相关性原理,提出了一种基于实测响应空间的负荷动特性分类方法。该方法以负荷动特性的实测响应空间为特征向量空间,对各个样本的实测响应进行时间坐标的标准化,以计算实测响应空间各样本间的相关系数,并采用系统聚类法按相关系数值进行特性分类。实测响应空间具有能够直接、准确地反映负荷构成的本质特征的优点,一工程应用实例证明了该方法正确有效,实现简便。

关 键 词:电力系统  负荷建模  负荷动特性分类  实测响应  随机过程  相关系数
文章编号:0258-8013(2006)08-0039-06
收稿时间:2005-12-08
修稿时间:2005-12-08

A New Classification Method for Aggregate Load Dynamic Characteristics Based on Field Measured Response
LI Xin-ran,LIN Shun-jiang,LIU Yang-hua,CHEN Hui-hua,TANG Wai-wen. A New Classification Method for Aggregate Load Dynamic Characteristics Based on Field Measured Response[J]. Proceedings of the CSEE, 2006, 26(8): 0-44
Authors:LI Xin-ran  LIN Shun-jiang  LIU Yang-hua  CHEN Hui-hua  TANG Wai-wen
Abstract:The classification and synthesis of load characteristics is the effective way of settling the time variance problem in aggregate load modeling. Based on the random process correlation theory, a new classifying method for load dynamic characteristics is presented. This method uses the measured response space as the character space of load dynamic characteristics. The measured response space can reflect the essential character of the composition of load directly and truly. First, the measured response of each sample is standardized in time coordination, and then the correlation coefficients of all the samples in measured response space are computed, at last, the system clustering method is used to make the characteristics classification by the value of the correlation coefficients. With a project instance, the correctness, effectiveness and convenient realization of the new method are proved.
Keywords:electric power system  load modeling  classification of dynamic load characteristics  measured response  random process  correlation coefficient
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《中国电机工程学报》浏览原始摘要信息
点击此处可从《中国电机工程学报》下载全文
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