Model predictive control for low-voltage ride-through capability improvement of variable-speed wind energy conversion systems

Abstract

In this paper, a finite control set-model predictive control (FCS-MPC) approach for low-voltage ride-through (LVRT) capability enhancement of permanent magnet synchronous generators (PMSGs) based on variable-speed wind turbines is proposed. According to the FCS-MPC principles, the discrete states of the converter are taken into account and the future converter performance is predicted. Subsequently, the voltage vector that optimizes a predefined cost function is selected to be applied in the next sampling interval. The proposed LVRT method exploits the wind turbine-PMSG rotor inertia to store the surplus power during the grid voltage dips. Simulation results are presented to validate the proposed LVRT strategy for all operation conditions.