Title :
A new hybrid complex ADALINE-LES filter for off-nominal frequency symmetrical components extraction
Author :
Sadinezhad, Iman ; Agelidis, Vassilios G.
Author_Institution :
Univ. of Sydney, Sydney, NSW
Abstract :
This paper presents a new digital filter to estimate the symmetrical components in power systems under unstable frequency conditions. The proposed hybrid filter comprises a complex adaptive linear neural network and a least error squares filter (CADALINE-LES). First, a new complex ADALINE structure is introduced that compresses the three-phase signals into a complex vector to produce a tuning vector. The estimation of the symmetrical components for off-nominal frequency operation is carried out using the produced tuning vector and the LES algorithm. The simulation results in PSCAD/EMTDC and MATLAB software confirm the accuracy and efficiency of the proposed method.
Keywords :
digital filters; frequency estimation; neural nets; power system analysis computing; MATLAB; complex adaptive linear neural network; complex vector; digital filter; hybrid complex ADALINE-LES filter; least error squares filter; off-nominal frequency symmetrical component extraction; power systems; three-phase signals; tuning vector; Adaptive filters; Adaptive systems; Digital filters; Frequency estimation; Hybrid power systems; Neural networks; Nonlinear filters; PSCAD; Tuning; Vectors; ADALINE; LES; Phasor estimation; off-nominal frequency operation;
Conference_Titel :
Industrial Technology, 2009. ICIT 2009. IEEE International Conference on
Conference_Location :
Gippsland, VIC
Print_ISBN :
978-1-4244-3506-7
Electronic_ISBN :
978-1-4244-3507-4
DOI :
10.1109/ICIT.2009.4939581
