电力系统自动化Issue(4)：32-40,9.DOI:10.7500/AEPS20150424003
基于电网运行大数据的在线分布式安全特征选择
Online Distributed Security Feature Selection Based on Big Data in Power System Operation
摘要
Abstract
The latest development and existing problems of power system security feature selection are briefly introduced.An online distributed security feature selection method is proposed.The method is based on power system security feature grouping by correlation and adapts to the big data in power system operation,and it could online discover critical features for power system security.First,a power system security feature selection method for a single compute node is discussed.Then a distributed method based on feature grouping is proposed.As the feature grouping method has an important influence on the selection results,a strategy based on power system security feature grouping by correlation is put forward to make correlation of features within the same group larger while the correlation of features among different groups smaller.This distributed security feature selection method is well applied in IEEE 9-bus system and Guangdong power system for its practicality and effectiveness,which could quickly find out the weak spots in power system operation and accurately help operators grasp the critical features for power system security.Compared with traditional methods,this method performs well for its compute accuracy and speed.关键词
热稳定安全域/多维空间/多约束/分段线性近似Key words
feature selection/big data/features for power system security operation/distributed/feature grouping by correla-tion引用本文复制引用
黄天恩,孙宏斌,郭庆来,温柏坚,郭文鑫..基于电网运行大数据的在线分布式安全特征选择[J].电力系统自动化,2016,(4):32-40,9.基金项目
国家重点基础研究发展计划(973计划)资助项目(2013CB228203) （973计划）
国家自然科学基金创新研究群体科学基金资助项目(51321005) （51321005）
中国南方电网有限责任公司科技项目(GDKJ00000058)。This work is supported by National Basic Research Program of China (973 Program)(No.2013CB228203),Foundation for Innovative Research Groups of the National Natural Science Foundation of China (No.51321005),and China Southern Power Grid Company Limited(No.GDKJ00000058) （GDKJ00000058）
