Improved Virtual Inertia of PMSG-Based Wind Turbines Based on Multi-Objective Model-Predictive Control

In the case of a high penetration rate wind energy conversion systems, conventional virtual inertia control permanent magnet synchronous generators (PMSG) has an insufficient support capability for system frequency, leading to unstable frequency and slower response. Considering finite set model predictive multi-objective regulation capabilities efficient tracking capabilities, improved model-predictive is proposed in this paper PMSG-based turbines with based on its mathematical model. With prediction model, optimal current can be obtained. Since shaft torque changes rapidly under inertia, oscillation may occur scenario. To address problem, electromagnetic as additional optimization objective, which effectively suppresses oscillation. Furthermore, accurate short-term speed forecasting, dynamic weight coefficient strategy proposed, reasonably distribute coefficients according working conditions. Finally, simulations are carried out 2 MW turbine platform, effectiveness strategies verified.