Open AccessMultivariate Detection of Power System Disturbances Based on Fourth Order Moment and Singular Value Decomposition
Author(s) -
Lianfang Cai,
Nina F. Thornhill,
Bikash C. Pal
Publication year - 2017
Publication title -
ieee transactions on power systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.312
H-Index - 263
eISSN - 1558-0679
pISSN - 0885-8950
DOI - 10.1109/tpwrs.2016.2633321
Subject(s) - power, energy and industry applications , components, circuits, devices and systems
This paper presents a new method to detect power system disturbances in a multivariate context, which is based on Fourth Order Moment and multivariate analysis implemented as Singular Value Decomposition. The motivation for this development is that power systems are increasingly affected by various disturbances and there is a requirement for the analysis of measurements to detect these disturbances. The application results on the measurements of an actual power system in Europe illustrate that the proposed multivariate detection method achieves enhanced detection reliability and sensitivity.