TY - GEN
T1 - SHC-PWM Closed-Loop Control Based on PI Controllers for Active Power Filters
AU - Ibanez-Hidalgo, Irati
AU - Aguilera, Ricardo P.
AU - Sanchez-Ruiz, Alain
AU - Perez-Basante, Angel
AU - Zubizarreta, Asier
AU - Ceballos, Salvador
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The increase of non-linear loads connected to the grid has led to the use of active power filters (APF) to reduce the low-order current harmonics injected by this kind of loads. In case of high-power medium-voltage applications, low switching frequency optimized modulators are preferred over standard carrier based-PWM. Therefore, in this work the selective harmonic control - PWM (SHC-PWM) modulation technique is used. SHC-PWM allows to synthesize low-order harmonics in amplitude and phase with low switching frequency. A closed-loop control system for APFs is proposed in order to address the control dynamic challenges related to low switching frequency modulation techniques. The closed-loop control uses a Kalman filter to estimate the harmonic currents in the grid side, a proportional-integral controller and SHC-PWM modulator based on artificial neural network. Simulation results are provided for a 3-level NPC converter to verify the effectiveness of the proposed control.
AB - The increase of non-linear loads connected to the grid has led to the use of active power filters (APF) to reduce the low-order current harmonics injected by this kind of loads. In case of high-power medium-voltage applications, low switching frequency optimized modulators are preferred over standard carrier based-PWM. Therefore, in this work the selective harmonic control - PWM (SHC-PWM) modulation technique is used. SHC-PWM allows to synthesize low-order harmonics in amplitude and phase with low switching frequency. A closed-loop control system for APFs is proposed in order to address the control dynamic challenges related to low switching frequency modulation techniques. The closed-loop control uses a Kalman filter to estimate the harmonic currents in the grid side, a proportional-integral controller and SHC-PWM modulator based on artificial neural network. Simulation results are provided for a 3-level NPC converter to verify the effectiveness of the proposed control.
KW - active power filter (APF)
KW - artificial neural network (ANN)
KW - Kalman filter (KF)
KW - proportional-integral (PI) controller
KW - selective harmonic control (SHC-PWM)
UR - http://www.scopus.com/inward/record.url?scp=85189753449&partnerID=8YFLogxK
U2 - 10.1109/IFEEC58486.2023.10458528
DO - 10.1109/IFEEC58486.2023.10458528
M3 - Conference contribution
AN - SCOPUS:85189753449
T3 - 2023 International Future Energy Electronics Conference, IFEEC 2023
SP - 184
EP - 188
BT - 2023 International Future Energy Electronics Conference, IFEEC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Future Energy Electronics Conference, IFEEC 2023
Y2 - 20 November 2023 through 23 November 2023
ER -