Steady-state and transient dynamic response of grid-connected WECS with asynchronous DOIG by predictive control under turbulent inflow

Strong growth figures prove that wind is now a mainstream option for new power generation. However, wind stochasticity results in fluctuations in output power as well as undesirable dynamic loading of the drive-train during high turbulence. To provide industry with the support it needs to develop technologies capable of cost-effective operation, advanced power electronic components have become increasingly necessary. These yield robust, adaptive digital controllers for optimal performance of the wind energy conversion systems (WECSs). This paper presents a model-based predictive control (MBPC) strategy for the field oriented control of a double output induction generator (DOIG). The control region is defined over two wind profiles: average wind speeds below and above equipment rating, subject to assigned constraints of the maximum allowable system frequency fluctuations and the power limit of the wind energy conversion system (WECS). To meet the objectives of maximizing energy capture and alleviation of drive train fatigue loads, controller design is based on performability models of the WECSpsilas components. Simulations verify the proposed paradigm achieves regulation of torsional dynamics while maintaining optimal operation.