Bayes-Based Fault Discrimination in Wide Area Backup Protection

• Main Authors: WANG, Z., ZHANG, J., ZHANG, Y.
• Format: Article
• Language: English
• Published: Stefan cel Mare University of Suceava 2012-02-01
• Series: Advances in Electrical and Computer Engineering
• Subjects: bayesian discriminant analysis; fault discrimination; phasor measurement unit; PMU; wide area backup protection
• Online Access: http://dx.doi.org/10.4316/AECE.2012.01015
• ISSN: 1582-7445; 1844-7600

Multivariate statistical analysis is an effective tool to finish the fault location for electric power system. In Bayesian discriminant analysis as a subbranch, by the research of several populations, one can calculate the conditional probability that some samples belong to these populations, and compare the corresponding probability. The sample will be classified as population with maximum probability. In this paper, based on Bayesian discriminant analysis principle, a great number of simulation examples have confirmed that the results of Bayesian fault discriminant in wide area backup protection are accurate and reliable.