Title :
Power quality disturbances detection using HOS
Author :
Ribeiro, M.V. ; Marques, C.A. ; Duque, C.A. ; Cerqueira, A.S. ; Pereira, J.L.R.
Author_Institution :
Dept. of Electr. Eng., UFJF
Abstract :
This paper outlines a novel method for detecting power quality (PQ) disturbance using higher order statistics (HOS). The main advantage introduced in this method refers to the detection capability of voltage disturbances in a data frame with, at least, N=32 samples. This improvement provides the detection of disturbances in sub-multiples or multiples of one cycle of the fundamental component if an appropriate sampling rate is considered. Computational results verified that 100% of abnormal and normal conditions are correctly detected if N=256, 128, and 64, while around 98.25 of voltage disturbances are correctly detected for N=32
Keywords :
higher order statistics; power supply quality; higher order statistics; power quality disturbances detection; voltage disturbances; Background noise; Error analysis; Event detection; Frequency; Gaussian noise; Higher order statistics; Power quality; Sampling methods; Signal processing; Voltage; event detection; high order statistics; power quality;
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
DOI :
10.1109/PES.2006.1709131
