Contribution to the control and energy management of multi-source system connected to the network

Abstract

This dissertation explores grid-connected photovoltaic (PV/PEMFC) topologies, and energy management strategies for stand-alone PV-PEFMC-Batteries storage systems. Moreover, various efficient control strategies have been suggested for these particular grid-connected topologies.The latter exhibits a number of limitations,including maximum power point tracking(MPPT),imprecise control over grid power, and low grid current quality. In order to address these limitations, a proposed approach involves the implementation of a model predictive control(MPC)strategy for the regulation of multi-level converters utilized in the grid-connected PV/PEMFC topologies. Firstly, a control strategy based on the predictive control strategy for a three-phase dual-stage grid-connected PV /PEMFC is proposed. A fuzzy logic MPPT is proposed and employed to control the DC-DC converter. An FSCTS model predictive control strategy is employed to control the DC-AC inverter. Subsequently, in grid-connected PV/PEMFC systems, The algorithm utilizes a three-level Neutral Point Clamped (NPC) inverter to facilitate the injection of current generated by the PV / PEMFC system while also ensuring the equilibrium of DC-link capacitor voltages. Similarly, F-type inverters are employed in grid-connected PEMFC systems to facilitate the injection of the current output into the grid while ensuring the best performance operation In contrast, this study presents a simple and effective algorithm,namely FSC-MPCC,designed for grid-connected PEMFC systems. The proposed method utilizes a three-level single-phase F-type inverter to effectively inject the current generated by the PEMFC system into the grid. Additionally, it ensures the equilibrium of DC-link capacitor voltages and achieves superior control performance. In the second part,a state machine energy management strategy is proposed for a multisource storage system consisting of PV,PEMFC,and batteries.A fuzzy logic MPPT is proposed and employed to control the DC-DC converter buck-boost converter,while state machine control is employed to control the boost converter that is connected to PEMFC.this study presents a simple and effective algorithm,and state machine control for the multisource storage system to facilitate meeting the load requirements. the simulation results validate the proposed control schemes for the investigated grid-connected PV topologies PEMFC topologies and the proposed stand-alone multi-source storage system.