A Novel Fault Identification Using WAMS/PMU

• Main Authors: ZHANG, Y., WANG, Z., ZHANG, J.
• Format: Article
• Language: English
• Published: Stefan cel Mare University of Suceava 2012-05-01
• Series: Advances in Electrical and Computer Engineering
• Subjects: fault identification; noise; principal component analysis; wide area measurement system; wams
• Online Access: http://dx.doi.org/10.4316/AECE.2012.02004
• ISSN: 1582-7445; 1844-7600

The important premise of the novel adaptive backup protection based on wide area information is to identify the fault in a real-time and on-line way. In this paper, the principal components analysis theory is introduced into the field of fault detection to locate precisely the fault by mean of the voltage and current phasor data from the PMUs. Massive simulation experiments have fully proven that the fault identification can be performed successfully by principal component analysis and calculation. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Under the influence of noise, the results are still accurate and reliable. So, the principal components fault identification has strong anti-interference ability and great redundancy.