2-Sliding active and reactive power control of a wind energy conversion system

Abstract

This study presents the control of a variable-speed wind energy conversion system based on a brushless doubly fed reluctance machine. The control objectives are the tracking of the maximum power conversion point and the regulation of the reactive power injected by the generation system into the grid. The control design is approached using multi-input second-order sliding techniques which are specially appropriate to deal with nonlinear system models in the presence of disturbances and model inaccuracies. The controller synthesised through this theoretical framework presents very good robustness features, a finite reaching time and a chattering-free behaviour. The performance of the closed-loop system is assessed through representative computer simulations.

An input–output linearization algorithm‐based control for optimization of DFIG

“…Making use of some geometrical and electrical considerations, regarding the relative alignment between the rotating frames and the spatial fluxes, and neglecting the stator resistance, the WECS description given previously can be simplified, allowing us to obtain a reduced-order model more adequate for the control design process [18,19]. This description consists of three differential equations accounting for the electrical dynamics of the rotor and the dynamics of the mechanical rotational speed:…”

Multivariable 2-sliding mode control for a wind energy system based on a double fed induction generator

“…Four of the equations consider the electric dynamics of both stator and rotor in a synchronously rotating direct-quadrature (d-q) frame and the fifth one accounts for the mechanical dynamics. Making some geometrical considerations and an electrical simplification (i.e., neglecting the stator resistance), a reduced order model can be obtained, which consists of three states accounting for the mechanical rotation speed and the electric rotor variables, whereas the stator currents are linked to them algebraically [10]:…”

Data-Driven Distributed Reactive Power Sharing in Microgrids

“…Although these methods are simple and easy to implement, the closedloop stability is not generally guaranteed. A sliding mode controller has been proposed in [11] for reactive power control of wind turbines. In [12], high-level optimal reactive power control has been proposed assuming each DGs can regulate the injected power to the grid.…”