Integration of PV, battery, and a hydrogen electrolyzer with different grid-forming and grid-following control strategies
This master’s thesis presents the modeling and simulation of a microgrid system integrating a photovoltaic array, a battery energy storage system, and a hydrogen electrolyzer. Each subsystem is connected via power electronic converters operating under either grid-forming or gridfollowing control str...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/443750 |
| Acceso en línea: | https://hdl.handle.net/2117/443750 |
| Access Level: | acceso abierto |
| Palabra clave: | Photovoltaic power generation Energy storage Microgrids (Smart power grids) Energia solar fotovoltaica Energia -- Emmagatzematge Microxarxes (Xarxes elèctriques intel·ligents) Àrees temàtiques de la UPC::Enginyeria elèctrica |
| Sumario: | This master’s thesis presents the modeling and simulation of a microgrid system integrating a photovoltaic array, a battery energy storage system, and a hydrogen electrolyzer. Each subsystem is connected via power electronic converters operating under either grid-forming or gridfollowing control strategies. The main objective is to assess the dynamic behavior of these control approaches under various grid strength conditions, defined by the Short-Circuit Ratio (SCR). Different voltage control strategies are implemented for the grid-forming control: conventional voltage control, virtual impedance, and virtual admittance. Through realistic simulation scenarios, this work evaluates stability, transient response, and power-sharing capabilities of each strategy. Results indicate that while traditional control methods are more prone to oscillations, virtual impedance and admittance improve robustness in weak and low-inertia grids. Virtual admittance offers better stability at the cost of slower response, whereas virtual impedance allows faster dynamics with a trade-off in robustness. This work contributes to the understanding of how to properly select and tune control strategies for resilient and flexible future microgrids. |
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