Title :
PCA fault location based on wide area measurement systems
Author :
Zhang, Yagang ; Wang, Zengping ; Jinfang Zhang
Author_Institution :
Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control under Minist. of Educ., North China Electr. Power Univ., Baoding, China
Abstract :
The faults in electric power system can not be completely avoided. When power system operates from normal state to failure or abnormal operates, its electric quantities 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 PMU, basing on principal components analysis technology, we have completed the fault location of electric power system. Of course, because of the complexity of different types of faults in power system, there still exists enormous problems need a close and intensive study.
Keywords :
fault location; power system faults; power system measurement; principal component analysis; PCA; electric power system fault; fault location; principal component analysis; wide area measurement systems; Complexity theory; Covariance matrix; Eigenvalues and eigenfunctions; Fault location; Power system dynamics; Principal component analysis; PCA; fault location; phasor measurement unit(PMU); wide area measurement system(WAMS);
Conference_Titel :
Critical Infrastructure (CRIS), 2010 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8080-7
DOI :
10.1109/CRIS.2010.5617572
