Optimal scheduling of a hybrid wind–battery power plant in the day-ahead and reserve markets considering battery degradation cost

Ghanaee, Elahe, Pérez Díaz, Juan Ignacio ORCID: https://orcid.org/0000-0003-0657-8527, Fernández Muñoz, Daniel ORCID: https://orcid.org/0000-0003-1789-3151, Nájera Álvarez, Jorge ORCID: https://orcid.org/0000-0002-3396-0062, Chazarra Jover, Manuel Joaquín ORCID: https://orcid.org/0000-0003-2221-220X and Castaño Solís, Sandra Patricia ORCID: https://orcid.org/0000-0001-9740-5597 (2024). Optimal scheduling of a hybrid wind–battery power plant in the day-ahead and reserve markets considering battery degradation cost. En: "2024 International Conference on Smart Energy Systems and Technologies (SEST)", 10-12 September 2024, Torino, Italy. ISBN 979-8-3503-8649-3. https://doi.org/10.1109/SEST61601.2024.10694289.

Descripción

Título: Optimal scheduling of a hybrid wind–battery power plant in the day-ahead and reserve markets considering battery degradation cost
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2024 International Conference on Smart Energy Systems and Technologies (SEST)
Fechas del Evento: 10-12 September 2024
Lugar del Evento: Torino, Italy
Título del Libro: 2024 International Conference on Smart Energy Systems and Technologies (SEST)Conference Proceedings
Fecha: 4 Octubre 2024
ISBN: 979-8-3503-8649-3
Materias:
ODS:
Escuela: E.T.S.I. Caminos, Canales y Puertos (UPM)
Departamento: Ingeniería Civil: Hidráulica, Energía y Medio Ambiente
Licencias Creative Commons: Ninguna

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Resumen

This paper deals with the integration of the cost of battery degradation into the short-term self-scheduling problem of a hybrid power plant (HPP) comprising a wind farm and a lithium-ion battery. The HPP participates in the Spanish day-ahead (DA) energy and secondary regulation reserve markets. The MILP deterministic model not only considers the cost of battery lifetime loss due to cycle aging, which is a function of depth of discharge (DOD) and discharge rate (C-Rate), but also considers the cost of calendar aging that is affected by three factors: time (t), state of charge (SOC), and temperature (T). Numerical simulations demonstrate that taking calendar aging into account significantly impacts the BES charge/discharge strategy and energy market trading.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
TED2021-132794B-C21
HYBRIDHYDRO
Juan Ignacio Pérez Díaz
Sin especificar

Más información

ID de Registro: 92392
Identificador DC: https://oa.upm.es/92392/
Identificador OAI: oai:oa.upm.es:92392
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10270925
Identificador DOI: 10.1109/SEST61601.2024.10694289
URL Oficial: https://ieeexplore.ieee.org/document/10694289
Depositado por: Juan Ignacio Pérez Díaz
Depositado el: 16 Dic 2025 13:23
Ultima Modificación: 16 Dic 2025 13:25