This paper presents a new method to detect power system disturbances in a multivariate context, which i s based on Fourth Order Moment (FOM) and multivar iate analysis implemented as S ingular Value Decomposition (SVD). The motivati on for this development is that power systems are increasingly affected by various disturbances and t here is a requirement for the analysis of measurement s to detect these disturbances. The ap plication results on the measurements of an actual power system in Europe illustrate that the proposed multivariate detection method achieves enhanced detection reliability and sensitivity.
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