Techno-economic optimization for BESS sizing and operation considering degradation and ramp rate limit requirement

In systems with significant renewable energy penetration, ramp rate limits are essential for maintaining grid frequency stability. Developing methodologies to manage this requirement is crucial for new power plant commissioning. This work proposes an optimization-based methodology for Battery Energy...

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Detalles Bibliográficos
Autores: Montalà Palau, Montserrat|||0009-0004-2817-1909, Cheah Mañé, Marc|||0000-0002-0942-661X, Gomis Bellmunt, Oriol|||0000-0002-9507-8278
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/422864
Acceso en línea:https://hdl.handle.net/2117/422864
https://dx.doi.org/10.1016/j.est.2024.114631
Access Level:acceso abierto
Palabra clave:Grid codes
Renewable energies integration
BESS operating strategies
BESS technologies
LFP BESS
LTO BESS
Àrees temàtiques de la UPC::Energies::Energia solar fotovoltaica
Descripción
Sumario:In systems with significant renewable energy penetration, ramp rate limits are essential for maintaining grid frequency stability. Developing methodologies to manage this requirement is crucial for new power plant commissioning. This work proposes an optimization-based methodology for Battery Energy Storage Systems (BESS) sizing while meeting ramp rate requirements. A key concern with BESS is estimating its lifetime, so the proposed method includes degradation calculation as a main contribution. The methodology allows the evaluation of different scenarios, focusing on the importance of including degradation in BESS sizing, the technical requirements for meeting ramp rate limits, the assessment of various BESS technologies, and the exploration of different operating strategies, business cases, and market frameworks. These aspects are investigated using a hypothetical PV power plant based on solar data from southern Spain.