Optimization of Inverter Control Strategy in Grid-Connected Photovoltaic Systems Using Model Predictive Direct Power Control

Jafari Chashmi, Milad; Izadfar, Hamid Reaz

doi:10.22075/jme.2025.37031.2821

Optimization of Inverter Control Strategy in Grid-Connected Photovoltaic Systems Using Model Predictive Direct Power Control

Articles in Press

Document Type : Research Paper

Authors

Milad Jafari Chashmi ¹

Hamid Reaz Izadfar ²

¹ Department of Electrical and Computer Engineering, Semnan University

² دانشگاه سمنان

10.22075/jme.2025.37031.2821

Abstract

Model Predictive Control (MPC) is of great interest due to its ability to solve the constraints of nonlinear systems. In this article, the Model Predictive Direct Power Control (MPDPC) method is proposed for a two-level inverter grid-connected in a photovoltaic system. First, a predictive direct power model is determined, and then a cost function consisting of two parts of power quality regulation and switching frequency optimization by adjusting the system parameters, is used to select the optimal voltage vectors to improve the inverter performance. The simulation results in MATLAB software show the appropriate efficiency of the proposed control method in two modes of permanent and dynamic system operation, such that the harmonic reduction of the output currents from 8.98% to 1.11% is visible. The switching in the power electronic elements of the inverter was also optimized, and the switching frequency was reduced from 12650 Hz to 8700 Hz, which will reduce losses and also increase the life of the inverter.

Keywords

Inverter

Flexible active power

Model Predictive Direct Power Control

Photovoltaic

Switching frequency

Subjects