Robust voltage control of a stand alone wind energy conversion system based on functional model predictive approach

This paper investigates the application of the model predictive control (MPC) approach to control the voltage and frequency of a stand alone wind generation system. This scheme consists of a wind turbine which drives an induction generator feeding an isolated load. A static reactive power compensator (SVAR) is connected at the induction generator terminals to regulate the load voltage. The rotor speed, and thereby the load frequency are controlled via adjusting the mechanical power input using the blade pitch-angle control. The MPC is used to calculate the optimal control actions including system constraints. To alleviate computational effort and to reduce numerical problems, particularly in large prediction horizon, an exponentially weighted functional model predictive control (FMPC) is employed.Digital simulations have been carried out in order to validate the effectiveness of the proposed scheme. The proposed controller has been tested through step changes in the wind speed and the load impedance. Simulation results show that adequate performance of the proposed wind energy scheme has been achieved. Moreover, this scheme is robust against the parameters variation and eliminates the influence of modeling and measurement errors.

► Induction generator driven by wind turbine and supplying isolated load is presented. ► The load voltage is regulating via controlling the static VAR firing angle. ► The terminal frequency is regulated by controlling turbine’s blade angle. ► A predictive control based on functional model predictive control approach is used. ► This Control is regulating both the static VAR firing angle and the blade angle.