Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules

Abstract Because of system constraints caused by the external environment and grid faults, conventional maximum power point tracking (MPPT) inverter control methods a PV generation cannot achieve optimal output. They can also lead to misjudgments poor dynamic performance. To address these issues, this paper proposes new MPPT method modules based on model predictive (MPC) finite set current (FCS-MPCC) an inverter. Using identification arrays, module-based MPC controller is designed, output achieved coordinating combination spectral wavelength module temperature. An FCS-MPCC algorithm then designed predict under different voltage vectors, vector selected according value function, corresponding switching state applied semiconductor devices The performance responses are verified, steady-state effects using compared with traditional feedforward decoupling PI in Matlab/Simulink. results show that has better constraints, faster more accurate response flexibility than control.