Performance of model predictive control approach for single‐phase distributed energy grid integration with PQ control

Abstract

This study investigates the performance of finite control set–model predictive control (FCS–MPC) strategy employed for the control of active (P) and reactive power (Q) injected to the grid from a distributed energy resource using a single-phase grid-tied inverter. In the study, three different computational methods are utilised to create the orthogonal components of grid current and voltage in the stationary reference frame that are required for PQ computations. The obtained results indicate that FCS–MPC approach is effective to provide flexible control of the power injected to the grid. Moreover, the steady state and transient performance of P and Q components are affected by the method of creating the imaginary quadrature component. Owing to the results, the second-order generalised integrator method provides the best steady state performance in terms of the lowest total harmonic distortion of grid current and minimum resultant peak–peak power ripple. While the quarter cycle phase delay method results in the worst transient behaviour owing to an unavoidable time delay of 0.005 s in case of 50 Hz supply system. In addition, the robustness of the FCS–MPC system is examined against parameters variation over a wide range. The overall FCS–MPC system is studied using PSIM® software.