Multi-state optimal power dispatch model for power-to-power systems in off-grid hybrid energy systems: A case study in Spain

Martínez Alonso, A. ; Matute, G. ; Yusta, J.M. (Universidad de Zaragoza) ; Coosemans, T.

Resumen: The electricity production from Renewable Energy (RE) in isolated locations requires long-term energy storage systems. To that end, Hybrid Energy Storage Systems (HESS), through a combination of hydrogen and batteries, can benefit from the different advantages of both technologies. This paper presents a hybrid Power-to-Power (PtP) Optimal Power Dispatch (OPD) model for isolated systems with no electric grid access. Currently, the electricity supply in such cases is usually based on a mix of RE as the primary energy source sustained by a diesel genset acting as a backup generator. In this context, the model delivers the hourly energy flows between renewable production sources, energy storage devices and the electrical load, which minimises costs and Green House Gases (GHG) emissions. For validation purposes, the model was tested through its application to a case study in an isolated area in the Canary Islands, Spain. The results show that the algorithm calculates the hourly OPD successfully for a given plant sizing, considering the defined operational states of the different assets. These operational constraints showed a decrease in the PtP round-trip efficiency of 5.4% and a reduction of the hydrogen production of 9.7%. Finally, the techno-economic analysis of the results proves that the combination of hydrogen and batteries with RE production is a feasible alternative to phasing out fossil fuels for the selected case study – reducing the diesel generator usage down to 1.2% of the yearly energy supply.

Idioma: Inglés

DOI: 10.1016/j.ijhydene.2023.06.019

Año: 2024

Publicado en: International Journal of Hydrogen Energy 52, A (2024), 1045-1061
ISSN: 0360-3199

Factor impacto JCR: 8.3 (2024)

Categ. JCR: CHEMISTRY, PHYSICAL rank: 40 / 185 = 0.216 (2024) - Q1 - T1
Categ. JCR: ENERGY & FUELS rank: 39 / 182 = 0.214 (2024) - Q1 - T1
Categ. JCR: ELECTROCHEMISTRY rank: 6 / 44 = 0.136 (2024) - Q1 - T1

Factor impacto SCIMAGO: 1.685 - Energy Engineering and Power Technology (Q1) - Renewable Energy, Sustainability and the Environment (Q1) - Fuel Technology (Q1) - Condensed Matter Physics (Q1)

Financiación: info:eu-repo/grantAgreement/EC/H2020/779541/EU/Remote area Energy supply with Multiple Options for integrated hydrogen-based TEchnologies/REMOTE

Tipo y forma: Article (Published version)

Área (Departamento): Área Ingeniería Eléctrica (Dpto. Ingeniería Eléctrica)