摘要
现有电网安全稳定规则通过大量人工进行离线仿真计算得到,存在一定局限性。利用数据挖掘方法建立基于规则的分类器,提出一种基于决策树的电网安全稳定规则提取方法,利用电网在线运行数据自动生成电网安全稳定决策树,并转化为更加精细化的电网安全稳定规则,为电网的安全稳定控制提供决策性建议。
With the increasing complexity of interconnection modes and the rapid increase of controlled devices in power systems,it is more difficult to control and optimize the operation modes of power grids.The existing rules of power grid security and stability are obtained by a large number of off-line simulation calculations manually which have certain limitations.Therefore,this paper establishes a rule-based classifier by using data mining method and proposes a decision tree-based method for extracting grid security and stability rules.This method can automatically generate the decision tree of power grid security and stability using the on-line operation data of power grid and transform it into more refined rules of power grid security and stability.It provides decision-making suggestions for the safety and stability control of the power grid.
作者
李群
侯凯元
丁松
包丹
LI Qun;HOU Kaiyuan;DING Song;BAO Dan(Northeast Branch of State Grid Co.of China,Shenyang,Liaoning 110181,China)
出处
《东北电力技术》
2019年第2期58-62,共5页
Northeast Electric Power Technology
关键词
稳定规则
决策树
数据挖掘
分类器
stability rule
decision tree
data mining
classifier
