شماره ركورد كنفرانس :
5060
عنوان مقاله :
Predictive Control of Multichannel Boost Converter and VSI-Based Six-Phase PMSG Wind Energy Systems with Fixed Switching Frequency
Author/Authors :
Kristiyan، Milev School of Informatics, Computing, and Cyber Systems - Northern Arizona University, Flagstaff, USA , Venkata، Yaramasu School of Informatics, Computing, and Cyber Systems - Northern Arizona University, Flagstaff, USA , Apparao، Dekka Department of Electrical Engineering - Lakehead University, Thunder Bay, Canada , Samir ، Kouro Electronics Engineering Department - Universidad Tecnica Federico Santa Maria, Valparaiso, Chile
كليدواژه :
modulated model predictive control , fixed switching frequency , multi-channel boost converter , permanent magnet synchronous generator , parallel inverters , wind energy
عنوان كنفرانس :
11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC)
چكيده فارسي :
فاقد چكيده فارسي
چكيده لاتين :
In this paper, a simple and efficient model predictive control technique for a six-phase permanent magnet synchronous generator-based wind energy system with fixed switching fre-quency is presented. The power converter interface to the grid features a dual diode-bridge rectifier, followed by a three-channel (3C) boost converter and a two-channel grid-tied voltage source inverter (2C-VSI). The proposed control technique is divided into two decoupled and independent control loops: the first corresponds to a deadbeat current control for the 3C-boost converter, while the second is a modulated model predictive current control for the 2C-VSI. The 3C-boost converter performs the maximum power point tracking through the regulation of inductor currents, whereas the 2C-VSI is in charge of controlling the active and reactive powers to the grid with excellent power quality. The proposed control techniques ensure fixed switching frequency and interleaved operation for the 3C-boost converter and 2C-VSI under a wide dynamic range, leading to less steady-state errors and fast transient response with effective distribution of power among the channels. To evaluate the proposed control technique, dynamic simulation results are presented for a 1.5 MW commercial wind turbine under varying wind speed conditions.
