Diseño, validación e implementación de algoritmos y arquitecturas de comunicación y control para la integración de energía solar fotovoltaica y movilidad eléctrica en microrredes
The transition towards sustainable energy systems depends crucially on the effective integration of renewable energy sources and electric mobility. This PhD thesis focuses on the design, validation and implementation of communication and control algorithms and architectures that facilitate the integ...
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| Tipo de documento: | tese |
| Estado: | Versão publicada |
| Data de publicação: | 2025 |
| País: | España |
| Recursos: | Universidad de Valladolid |
| Repositório: | UVaDOC. Repositorio Documental de la Universidad de Valladolid |
| OAI Identifier: | oai:uvadoc.uva.es:10324/75251 |
| Acesso em linha: | https://doi.org/10.35376/10324/75251 https://uvadoc.uva.es/handle/10324/75251 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Ingeniería eléctrica Electric vehicles Vehículos eléctricos Microgrid Microrred Photovoltaic Fotovoltaico 33 Ciencias Tecnológicas |
| Resumo: | The transition towards sustainable energy systems depends crucially on the effective integration of renewable energy sources and electric mobility. This PhD thesis focuses on the design, validation and implementation of communication and control algorithms and architectures that facilitate the integration of solar photovoltaic and electric vehicles (EVs) in microgrids. The research addresses key challenges such as solar power intermittency and EV load management, proposing solutions that improve grid stability and efficiency. This PhD thesis presents a comprehensive approach for the design, validation and implementation of communication and control algorithms and architectures that facilitate the integration of solar PV and electric mobility in microgrids. First, a review of the state of the art of solar energy and electric mobility technologies, as well as the control and management strategies used in these systems is carried out. This review includes the analysis of hybrid methodologies for energy management in microgrids, highlighting the role of EVs as energy storage systems that can mitigate fluctuations in PV generation. Then, intelligent load control algorithms are developed and validated to optimize the use of EV batteries. These algorithms are designed to manage the charging and discharging of EVs based on variations in solar power generation and grid conditions. The algorithms are integrated into advanced simulation platforms, such as MATLAB and OpenDSS, to assess their impact on the power grid and enable the implementation of efficient charging strategies. Simulation results have shown that these algorithms can significantly reduce power fluctuations and improve grid stability. Finally, a decentralized communication architecture is implemented and tested to facilitate the interaction between PV generators and local control systems in microgrids. This architecture is designed to support real-time power management, improving system response to variations in the PV resource considering high cloud cover conditions in areas where high PV penetration is expected. Simulations have shown that this architecture enables efficient and secure power management, reducing voltage fluctuations at customer terminals, i.e. improving power quality through the proper distribution of electric vehicle aggregators. In addition, an analysis of the impact of harmonics generated by EV charging stations in grids with high PV penetration has been carried out. This analysis has revealed that the magnitude of the third harmonic can increase significantly, affecting the capacitance of the EVs. |
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