Voltage sag segmentation under deformation tensor parameters

Author

Arias-Guzman, S. ; Ustariz-Farfan, A.J. ; Plata, E. A. Cano

Author_Institution

Electron. & Comput. Eng. Program, Univ. Nac. de Colombia, Manizales, Colombia

fYear

2014

fDate

25-28 May 2014

Firstpage

541

Lastpage

545

Abstract

This paper introduces a new algorithm of polyphasic segmentation. This new algorithm combines the strength of the concept of voltage signal tensor with the benefits offered by the residual segmentation technique in order to generate a unique pattern of segmentation. This segmentation strategy is validated using a set of synthetic signals with voltage variation in the remnant voltage and the start point of the event. The proposed algorithm is tested using a set of real signals captured by a local network operator.

Keywords

power supply quality; tensors; deformation tensor parameters; local network operator; polyphasic segmentation; real signals; remnant voltage; residual segmentation technique; segmentation strategy; synthetic signals; voltage sag segmentation; voltage signal tensor; voltage variation; Algorithm design and analysis; Indexes; Kalman filters; Power quality; Tensile stress; Voltage fluctuations; Voltage measurement; Kalman filter; Segmentation; Tensor analysis; Voltage sags;

fLanguage

English

Publisher

ieee

Conference_Titel

Harmonics and Quality of Power (ICHQP), 2014 IEEE 16th International Conference on

Conference_Location

Bucharest

Type

conf

DOI

10.1109/ICHQP.2014.6842885

Filename

6842885