Model Predictive Current Control with Duty Ratio Optimization for Three Phase Grid Tie Micro Inverter Based on Runge Kutta Approximation

EasyChair Preprint 5084

Abstract

 In conventional model predictive current (MPCC) only one voltage vector is chosen and applied through one control cycle by using the discrete time system model. The selection of the voltage vector is based on minimizing a cost function, which is related to decrease the errors of current. However, due to the restricted number of switching states which can be generated by three phase micro inverter, this will restrict the steady state performance and produce high current harmonics. To improve the performance of the conventional MPCC, this paper proposes an improved MPCC with duty ratio optimization for three phase grid tie micro inverter. The proposed strategy divides the one control period into two sub periods for two voltage vectors. This strategy uses the principle of current error minimization to obtain the duration of the chosen voltage vectors. The simulation results verify the effectiveness of the proposed MPCC in obtaining better steady state performance and reducing the total harmonic distortion of current to 0.77%.

Keyphrases: Forward Euler approximation, Runge Kutta approximation, SPWM, SVPWM., Three phase grid tie micro inverter, cost function, model predictive current control

@booklet{EasyChair:5084,
  author    = {Sameer Khader and Mohamad Abu Nahla},
  title     = {Model Predictive Current Control with Duty Ratio Optimization for Three Phase Grid Tie Micro Inverter Based on Runge Kutta Approximation},
  howpublished = {EasyChair Preprint 5084},
  year      = {EasyChair, 2021}}