PCA Fault Feature Extraction in Complex Electric Power Systems

Advances in Electrical and Computer Engineering

ZHANG, Y. ; WANG, Z. ; ZHANG, J. ; MA, J..

关键词: complexity;    fault feature extraction;    principal components analysis;    PCA;    phasor measurement unit;    PMU;    electric power system;   

DOI  :  10.4316/AECE.2010.03017

学科分类：计算机科学（综合）

来源: Universitatea "Stefan cel Mare" din Suceava

【 摘 要 】

Electric power system is one of the most complex artificial systems in the world. The complexity is determined by its characteristics about constitution, configuration, operation, organization, etc. The fault in electric power system cannot be completely avoided. When electric power system operates from normal state to failure or abnormal, its electric quantities (current, voltage and angles, etc.) may change significantly. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Therefore, utilizing real-time measurements of phasor measurement unit, based on principal components analysis technology, we have extracted successfully the distinct features of fault component. Of course, because of the complexity of different types of faults in electric power system, there still exists enormous problems need a close and intensive study.

【 授权许可】

Unknown