Contribution to the predictive control of multilevel and quasi-Z-source type inverters dedicated to the energy management of a photovoltaic installation connected to the electrical grid

Abstract

This research work deals with the integration of photovoltaic (PV) energy to the electrical grid by the design of the power electronic interface. In this context, two topologies are considered, the dual-stage topology based on a grid-tied multi-level inverter and the single-stage topology based on quasi Z-source inverter. A two-stage grid-tied PV design based on a high-gain DC-DC converter and a 7-level Packed U Cells (7L-PUC) inverter, controlled by Finite-Control-Set Model Predictive Control (FCS-MPC) is presented, with the proposal of a novel model for controlling the DC-link voltage by considering system losses. The simulation and experimental results demonstrate the high effectiveness of the proposed control strategy in terms of response time under changes in weather conditions and demonstrate the feasibility of the proposed strategy. This thesis also introduces a novel grid-tied PV quasi-Z-Source Inverter (qZSI) control system, which combines the Modulated Model Predictive Control (M2PC) and Fuzzy Logic Control (FLC) techniques. The proposed control is compared to the Conventional M2PC (CM2PC) to assess its performance. The proposed control system exhibits rapid and accurate tracking of the MPP. Additionally, it can autonomously inject current into the grid. Through comprehensive simulation and comparative analysis, the effectiveness of the proposed system is verified, demonstrating the high performance of the implemented control techniques. The results underscore the robust performance of the system in regulating grid-connected PV systems.