شماره ركورد كنفرانس :
5060
عنوان مقاله :
Modulated Predictive Current Control of PMSG-Based Wind Energy Systems
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 :
Current control , wind energy , fixed switching frequency , space vector modulation , mod-ulated model predictive control , permanent magnet synchronous generator
عنوان كنفرانس :
11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC)
چكيده فارسي :
فاقد چكيده فارسي
چكيده لاتين :
Abstract—In this paper, an efficient modulated model predictive
current control of back-to-back connected voltage source
converter in direct-driven surface-mounted permanent magnet
synchronous generator-based variable-speed wind energy conversion
system is presented. The proposed control scheme fulfils
the wind energy requirements such as maximum power point
tracking, control of DC-link voltage and grid reactive power
regulation through the control of generator and grid currents
with fast transient response, smooth steady-state and fixed switching
frequency operation simultaneously. The proposed controller
predicts the future behavior of generator and grid currents using
quasi-exact discrete-time models and eight voltage vectors, and
then evaluates them by two independent cost functions. The two
active vectors and a zero-vector corresponding to the optimal cost
functions are synthesized by the space vector modulation. The
feasibility of the proposed method is verified through simulation
results using a 750-kW wind energy system at different wind
speeds and grid reactive powers.
