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Harmonic content identification based on neural method for single phase power systems
(2009-12-01)
An alternative method is presented in this paper to identify the harmonic components of non-linear loads in single phase power systems based on artificial neural networks. The components are identified by analyzing the ...
Harmonic content identification based on neural method for single phase power systems
(2009-12-01)
An alternative method is presented in this paper to identify the harmonic components of non-linear loads in single phase power systems based on artificial neural networks. The components are identified by analyzing the ...
Qualitative analysis for single-phase grid-tie power inverter structures
(2014-01-01)
This paper presents comparisons among non-isolated DC to AC double-stage single-phase structures, including one integrated single-stage, for photovoltaic (PV) distributed generation applications, and suitable to operate ...
Currents' physical components (CPC): Case studies in single phase systems
(2018-06-25)
This paper intends to apply in selected cases the Currents' Physical Components (CPC) Theory, developed by Czarnecki to interpret power properties through the decomposition of the system's currents into orthogonal components ...
Improving Power Quality in Cascade Multilevel Converters Based on Single-Phase Nonregenerative Power Cells
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2014)
Harmonic identification using parallel neural networks in single-phase systems
(ELSEVIER SCIENCE BV, 2011)
In this paper, artificial neural networks are employed in a novel approach to identify harmonic components of single-phase nonlinear load currents, whose amplitude and phase angle are subject to unpredictable changes, even ...
Harmonic identification using parallel neural networks in single-phase systems
(Elsevier B.V., 2011-03-01)
In this paper, artificial neural networks are employed in a novel approach to identify harmonic components of single-phase nonlinear load currents, whose amplitude and phase angle are subject to unpredictable changes, even ...
Harmonic identification using parallel neural networks in single-phase systems
(Elsevier B.V., 2011-03-01)
In this paper, artificial neural networks are employed in a novel approach to identify harmonic components of single-phase nonlinear load currents, whose amplitude and phase angle are subject to unpredictable changes, even ...