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基于多目标聚类的用电集群特征属性计算
引用本文:刘友波,刘俊勇,赵岩,李磊,胥威汀,姚玉,侯贺飞. 基于多目标聚类的用电集群特征属性计算[J]. 电力系统自动化, 2009, 33(19): 46-51
作者姓名:刘友波  刘俊勇  赵岩  李磊  胥威汀  姚玉  侯贺飞
作者单位:1. 四川大学电气信息学院,四川省成都市,610065
2. 上海市电力公司,上海市,200122
基金项目:国家重点基础研究发展计划(“973计划”)
摘    要:提出售电市场中用电集群与分析维度概念.确定集群特征变量后,采用自组织映射神经网络与k-均值混合可视化聚类技术对售电空间进行自定义目标划分.基于负荷与经济指标,设计熵权改进的多指标属性测度算法对多目标划分下用电集群特性进行精细化定量综合计算,以分析各对象属性整体相对优劣.采集某电网317个用户数据进行算例分析,结果表明该算法能区别于传统负荷特性分析方法,在扩大售电市场研究对象基础上实现更多有效信息挖掘与多目标售电对象特征精细分析.

关 键 词:多目标聚类  用电集群  自组织映射神经网络  属性测度  熵权
收稿时间:2009-04-29
修稿时间:2009-09-24

Calculation of Characteristic Attributes of Consumer Aggregations Based on Multi-objective Clustering
LIU Youbo,LIU Junyong,ZHAO Yan,LI Lei,XU Weiting,HOU Hefei,YAO Junyu. Calculation of Characteristic Attributes of Consumer Aggregations Based on Multi-objective Clustering[J]. Automation of Electric Power Systems, 2009, 33(19): 46-51
Authors:LIU Youbo  LIU Junyong  ZHAO Yan  LI Lei  XU Weiting  HOU Hefei  YAO Junyu
Affiliation:LIU Youbo1,LIU Junyong1,ZHAO Yan2,LI Lei2,XU Weiting1,HOU Hefei1,YAO Junyu1(1.Sichuan University,Chengdu 610065,China,2.Shanghai Municipal Electric Power Company,Shanghai 200122,China)
Abstract:The concept of consumer aggregation and power sale market analysis dimensions are proposed.After characteristic variables of consumer aggregation are selected,the hybrid visual cluster technology with self-organizing map(SOM) and k-means is chosen for division of power sale market under user-defined target.Considering load and economic indices,the attribute measurement algorithm based on entropy weight improvement is presented and employed to perform the elaborating and integrated calculation of consumer ag...
Keywords:multi-objective clustering  consumer aggregation  self-organizing map(SOM)  attribute measurement  entropy weight  
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