DocumentCode :
1564097
Title :
Implementation of the Wiener Filter for Extracting Power Quality Disturbances
Author :
Elnady, A. ; Noureldin, A. ; Liu, Yan-Fei
Author_Institution :
Queen´´s Univ., Kingston
fYear :
2007
Firstpage :
1116
Lastpage :
1120
Abstract :
This paper introduces a novel modular strategy for real time extraction of the current and voltage disturbances. The main advantage of this technique is that it does not have mathematical complexity and does not require any model or state-space formulation to extract the disturbances like the other commonly used state-space techniques. In addition, it is very simple for practical and real time implementation if compared to the existing time-domain and frequency-domain methods. The proposed technique is based on the Wiener filter designed adaptively by using a sliding windowing procedure. This Wiener filter is employed to design a generalized extraction strategy for tracking and extracting the most common power quality disturbances. Digital simulation results on the most common power quality problems are demonstrated to validate the proposed strategy.
Keywords :
Wiener filters; digital simulation; frequency-domain analysis; power filters; power supply quality; power system faults; state-space methods; time-domain analysis; Wiener filter; current disturbances; digital simulation; frequency-domain method; generalized extraction strategy; modular strategy; power quality disturbances; real time disturbance extraction techniques; sliding windowing procedure; state-space techniques; time-domain method; voltage disturbances; Adaptive filters; Delay estimation; Delay lines; Event detection; Filtering theory; Finite impulse response filter; Power quality; Transversal filters; Voltage; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Specialists Conference, 2007. PESC 2007. IEEE
Conference_Location :
Orlando, FL
ISSN :
0275-9306
Print_ISBN :
978-1-4244-0654-8
Electronic_ISBN :
0275-9306
Type :
conf
DOI :
10.1109/PESC.2007.4342149
Filename :
4342149
Link To Document :
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