ANN-PI Controller for the Grid-Side Converters in Wind Energy Conversions Systems under Voltage Dips

Abstract

Standard electrical network codes require wind power systems to maintain the supply of active and reactive power, even in the event of operating conditions being disrupted. This paper presents a new controller for the grid side converter (GSC) in a wind power system based on a doubly fed induction generator (DFIG). This controller integrates a neural network, which adjusts the parameters of a PI regulator in real time. This enables the wind system to adapt to varying operating conditions. The control objectives are twofold: (i) regulating the DC bus voltage through the control of the injected grid current quadratic component; and (ii) regulating the reactive power transmitted to the grid, through the control of the injected grid current direct component. The reactive power control allows the wind system power factor (PFC) to be adjusted. To highlight the interest of the proposed controller, these performances are compared to that of a controller based on conventional PI regulators. The simulations presented here were conducted in Matlab/Simulink and demonstrate the enhanced performance of the proposed controller.