Title :
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
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;
Conference_Titel :
Harmonics and Quality of Power (ICHQP), 2014 IEEE 16th International Conference on
Conference_Location :
Bucharest
DOI :
10.1109/ICHQP.2014.6842885
