中国电机工程学报2011，Vol.31Issue(34)：61-67,7.
采用线性决策树的暂态稳定规则提取
Rule Extraction in Transient Stability Study Using Linear Decision Trees
摘要
Abstract
For the purpose of improving the performance of automatic extracted fine-rule,a method of linear decision tree based on support samples was proposed for rule extraction in this paper.Support samples,which are located in the vicinity of real stability boundary and used as input of decision tree,are selected by distance method.Linear decision tree based on linear classifiers,which were generated by linear transformation,was proposed to obtain integrated attributes operation rules for power system security and stability study.Case study was carried out in one-machine infinite bus system as well as IEEE 39-bus system.Results show that,rules generated by the proposed method are small in structure,have high generation ability and interpretability,and provide sensitivity information,which is valuable for assistant decision-making.Meanwhile,generation time is remarkably reduced.Advantages mentioned above makes that the proposed method is potential in extraction fine security and stability operation rules.关键词
电力系统/安全稳定/线性决策树/支持样本/精细规则/线性分类器Key words
power systems/security and stability/linear decision tree/support sample/fine rule/linear classifier分类
信息技术与安全科学引用本文复制引用
孙宏斌,王康,张伯明,赵峰..采用线性决策树的暂态稳定规则提取[J].中国电机工程学报,2011,31(34):61-67,7.基金项目
国家杰出青年科学基金（51025725) （）
国家自然科学基金项目（50877043) （）
