TY - GEN
T1 - Modulated Predictive Current Control of PMSG-Based Wind Energy Systems
AU - Milev, Kristiyan
AU - Yaramasu, Venkata
AU - Dekka, Apparao
AU - Kouro, Samir
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - This paper presents an efficient modulated model predictive current control for direct driven wind energy system composed of surface-mounted permanent magnet synchronous generator and back-to-back connected voltage source converter. The proposed control method fulfils the generator-side control requirements such as maximum power point tracking, and grid-side control objectives such as DC-link voltage control and power factor correction. These objectives are achieved through the regulation 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. Finally, the switching sequence is designed by the space vector modulation using three stationary voltage vectors corresponding to the optimal cost function. The performance of the proposed method is validated through the MATLAB simulations using a 750-kW wind energy system at different wind speeds and grid reactive powers.
AB - This paper presents an efficient modulated model predictive current control for direct driven wind energy system composed of surface-mounted permanent magnet synchronous generator and back-to-back connected voltage source converter. The proposed control method fulfils the generator-side control requirements such as maximum power point tracking, and grid-side control objectives such as DC-link voltage control and power factor correction. These objectives are achieved through the regulation 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. Finally, the switching sequence is designed by the space vector modulation using three stationary voltage vectors corresponding to the optimal cost function. The performance of the proposed method is validated through the MATLAB simulations using a 750-kW wind energy system at different wind speeds and grid reactive powers.
KW - Current control
KW - modulated model predictive control
KW - permanent magnet synchronous generator
KW - space vector pulse width modulation
KW - wind energy
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U2 - 10.1109/PEDSTC49159.2020.9088365
DO - 10.1109/PEDSTC49159.2020.9088365
M3 - Conference contribution
AN - SCOPUS:85085474910
T3 - 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
BT - 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
Y2 - 4 February 2020 through 6 February 2020
ER -