Control-oriented model for hydrogen integration in renewable microgrids

https://doi.org/10.58571/CNCA.AMCA.2025.031

Resumen: Renewable microgrids are emerging as a central solution for decarbonization and distributed electricity generation. Their inherent intermittency, however, necessitates hybrid energy storage systems (ESS) to guarantee continuous supply, which increases complexity and nonlinear behavior. This work incorporates hydrogen production, storage, and utilization into the ESS, improving system flexibility and reliability. While local controllers govern individual components (e.g., PV maximum power point tracking), overall operation requires a higher-level energy management system (EMS) to ensure instantaneous power balance, long-term energy stability, and economic efficiency, an inherently multivariable and nonlinear control challenge. This paper introduces a methodological framework for developing a general state-space model of hydrogenhybridized renewable microgrids. The proposed control-oriented model integrates both technical and economic parameters, supporting EMS design for short-term demand–generation matching and long-term economic optimization. To capture nonlinearities while retaining computational efficiency, the model adopts a linear parameter-varying (LPV) approach. This framework establishes a robust foundation for implementing advanced predictive control strategies in complex microgrid architectures.

¿Cómo citar?

Manuel Andújar, J., Vivas, F. & Segura, F. (2025). Control-oriented model for hydrogen integration in renewable microgrids. Memorias del Congreso Nacional de Control Automático 2025, pp. 179-184. https://doi.org/10.58571/CNCA.AMCA.2025.031

Palabras clave

Renewable microgrid, electrolyzer, fuel cell, energy management system, state space model, nonlinear behavior, linear parameter-varying model.

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