RT Journal Article
T1 Nonlinear Loads Compensation Using a Shunt Active Power Filter Controlled by Feedforward Neural Networks
A1 Flores Garrido, Juan Luis
A1 Salmerón Revuelta, Patricio
A1 Gómez Galán, Juan Antonio
AB The shunt active power filter (SAPF) is a widely used tool for compensation of disturbances in three-phase electric power systems. A high number of control methods have been successfully developed, including strategies based on artificial neural networks. However, the typical feedforward neural network, the multilayer perceptron, which has provided effective solutions to many nonlinear problems, has not yet been employed with satisfactory performance in the implementation of the SAPF control for obtaining the reference currents. In order to prove the capabilities of this simple neural topology, this work describes a suitable strategy of use, based on the accurate estimation of the Fourier coefficients corresponding to the fundamental harmonic of any distorted voltage or current. An effective training method has been developed, consisting of the use of many distorted patterns. The new generation procedure uses random combinations of multiple harmonics, including the possible nominal frequency deviations occurring in real power systems. The design of the generation of reference signals through computations based on the Fourier coefficients is presented. The objectives were the harmonic mitigation and power factor correction. Practical cases were tested through simulation and also by using an experimental platform, showing the feasibility of the proposal
PB MDPI
SN 2076-3417 (electrónico)
YR 2021
FD 2021
LK http://hdl.handle.net/10272/20053
UL http://hdl.handle.net/10272/20053
LA eng
NO Flores-Garrido, Juan L., Patricio Salmerón, and Juan A. Gómez-Galán (2021). Nonlinear Loads Compensation Using a Shunt Active Power Filter Controlled by Feedforward Neural Networks. Applied Sciences 11(16), 7737. https://doi.org/10.3390/app11167737
NO This work is part of the project “Connection of microgrids to the network by means ofactive conditioners with high performance of electric power quality”, UHU-1256532, funded by thePrograma Operativo FEDER Andalucía 2014–2020, Spain
DS Repositorio Institucional de la Universidad de Huelva
RD 30 may 2026