34th European Conference on Operational Research - EURO 2025, Leeds (Reino Unido). 22-25 junio 2025
Resumen:
This study presents an optimisation model for the self-scheduling of a hydrogen-based virtual power plant (H2-VPP) in the day-ahead electricity market. The model strategically integrates renewable energy sources, battery storage, electrolysers and hydrogen storage to maximise operational efficiency and economic performance. By optimising the interaction between electricity and hydrogen networks, it enables better resource management and increased use of renewable energy. A case study evaluates different system configurations, highlighting the impact of battery storage and hydrogen tanks on cost reduction. The results show that excluding battery storage increases costs by up to 87%, while excluding hydrogen storage increases costs by up to 153%. These findings underline the critical role of storage technologies in increasing flexibility, minimising electricity purchases and improving market competitiveness. The proposed framework supports the development of hydrogen-based VPPs, contributing to a more efficient and resilient energy transition.
Palabras clave: Electrolyzer Scheduling; Electricity Markets; Programming, Mixed-Integer
Fecha de publicación: 22-jun-2025
Cita:
E. F. Álvarez, P. Sánchez, A. Ramos, "Optimized Self-Scheduling of a Hydrogen-Based Virtual Power Plant in the Day-Ahead Electricity Market", presentado en 34th European Conference on Operational Research - EURO 2025, Leeds, Reino Unido, 22-25 junio 2025
IIT-25-074C_abstract
