基于RS-DS理论的智能变电站关键建设环节识别  

Key Construction Links Recognition for Intelligent Substation Based on Rough Set and Evidence Theory

作　　者：黄立新[1] 陈英杰[1] 董达鹏[1] 曾鸣[1] 

机构地区：[1]华北电力大学经济与管理学院,北京102206

出　　处：《华东电力》2012年第9期1490-1493,共4页East China Electric Power

基　　金：美国能源基金会支持项目(G-1006-12630)~~

摘　　要：研究了运用粗糙集(RS)和证据理论(DS)组合模型识别出智能变电站建设的关键环节。首先基于所构建的智能变电站建设环节三级体系建立决策信息表,并运用粗糙集理论对其进行属性约简;然后邀请一定数量的专家对约简后的属性进行重要程度打分;最后利用证据理论Dempster合成规则对属性得分进行合成。This research focuses on the recognition of the key links in intelligent substation construction using the combined model of rough set and evidence theory（RS-DS）.First,establish decision-making information table based on the built three-level system of intelligent substation construction links,and use rough set theory to make attribute reduction;then invite a number of experts to rate the importance of the reduced attributes;finally,utilize Dempster combination rule in evidence theory to synthesize the attribute scores.

关 键 词：智能变电站 粗糙集 证据理论 识别 

分 类 号：F407.61[经济管理—产业经济] TM63[电气工程—电力系统及自动化]