TY - JOUR
T1 - Real-time selective harmonic mitigation technique for power converters based on the exchange market algorithm
AU - Alcaide, Abraham Marquez
AU - Leon, Jose I.
AU - Laguna, Marta
AU - Gonzalez-Rodriguez, Francisco
AU - Portillo, Ramon
AU - Zafra-Ratia, Eduardo
AU - Vazquez, Sergio
AU - Franquelo, Leopoldo G.
AU - Bayhan, Sertac
AU - Abu-Rub, Haitham
N1 - Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
PY - 2020
Y1 - 2020
N2 - Hand-in-hand with the smart-grid paradigm development, power converters used in high-power applications are facing important challenges related to efficiency and power quality. To overcome these issues, the pre-programmed Pulse-Width Modulation (PWM) methods have been extensively applied to reduce the harmonic distortion with very low power switching losses for high-power converters. Among the pre-programmed PWM techniques, Selective Harmonic Elimination (SHE) has been the prevailing solution, but recently, Selective Harmonic Mitigation (SHM) stands as a superior alternative to provide further control of the harmonic spectrum with similar losses. However, the large computational burden required by the SHM method to find a solution confines it as an off-line application, where the switching set valid solutions are pre-computed and stored in a memory. In this paper, for the first time, a real-time implementation of SHM using an off-the-shelf mid-range microcontroller is presented and tested. The Exchange Market Algorithm (EMA), initially focused on optimizing financial transactions, is considered and executed to achieve the SHM targets. The performance of the EMA-based SHM is presented showing experimental results considering a reduced number of switching angles applied to a specific three-level converter, but the method can be extrapolated to any other three-level converter topology.
AB - Hand-in-hand with the smart-grid paradigm development, power converters used in high-power applications are facing important challenges related to efficiency and power quality. To overcome these issues, the pre-programmed Pulse-Width Modulation (PWM) methods have been extensively applied to reduce the harmonic distortion with very low power switching losses for high-power converters. Among the pre-programmed PWM techniques, Selective Harmonic Elimination (SHE) has been the prevailing solution, but recently, Selective Harmonic Mitigation (SHM) stands as a superior alternative to provide further control of the harmonic spectrum with similar losses. However, the large computational burden required by the SHM method to find a solution confines it as an off-line application, where the switching set valid solutions are pre-computed and stored in a memory. In this paper, for the first time, a real-time implementation of SHM using an off-the-shelf mid-range microcontroller is presented and tested. The Exchange Market Algorithm (EMA), initially focused on optimizing financial transactions, is considered and executed to achieve the SHM targets. The performance of the EMA-based SHM is presented showing experimental results considering a reduced number of switching angles applied to a specific three-level converter, but the method can be extrapolated to any other three-level converter topology.
KW - Harmonic distortion
KW - Metaheuristic search algorithms
KW - Power converters
KW - Pulse-width modulation
UR - http://www.scopus.com/inward/record.url?scp=85082737124&partnerID=8YFLogxK
U2 - 10.3390/en13071659
DO - 10.3390/en13071659
M3 - Article
AN - SCOPUS:85082737124
SN - 1996-1073
VL - 13
JO - Energies
JF - Energies
IS - 7
M1 - 1659
ER -