20th International Conference on the European Energy Market - EEM24, Estambul (Turquía). 10-12 junio 2024
Resumen:
Unit commitment (UC) models used in real-life island power systems (IPSs) require complex modelling details and low execution times since they have to be launched repeated times for different assumptions and changing conditions. For this reason, system operators and power generation companies discard for daily analysis sophisticated models such as stochastic, robust or frequency-constrained UC. Instead, they prioritize the use of deterministic standard UC (STUC), where units are scheduled imposing a static reserve criterion such that the amount of available spinning reserve is sufficient to cover expected disturbances. This paper outlines why in IPSs the spinning reserve requirement increments dramatically the computational burden of a STUC, proposing practical solutions to contain runtimes. Proposed solutions include incrementing convergence tolerance, dividing a weekly optimization in seven sequential daily problems and formulating alternative equations for the reserve constraints. Results of real-life small and big size Spanish IPS will demonstrate how execution times are drastically diminished with acceptable loss of accuracy.
Resumen divulgativo:
Este artículo describe el porqué en los sistemas eléctricos insulares, el requisito de reserva incrementa el tiempo de ejecución de un despacho económico, proponiendo soluciones para reducir los tiempos de ejecución. Se proporcionan casos de estudio reales de islas españolas de pequeño y gran tamaño.
Palabras clave: island power systems, unit commitment, frequency stability
DOI: 
https://doi.org/10.1109/EEM60825.2024.10608938
Publicado en IEEE EEM 2024, pp: 1-6, ISBN: 979-8-3503-8175-7
Fecha de publicación: 2024-08-08.
Cita:
E. Lobato, P. Sánchez, M. Rajabdorri, L. Sigrist, Practical solutions to limit computational burden of UC in Island Power Systems, 20th International Conference on the European Energy Market - EEM24, Estambul (Turquía). 10-12 junio 2024. En: IEEE EEM 2024: Conference proceedings, ISBN: 979-8-3503-8175-7
