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Co-Optimizing Synthetic and Synchronous Inertia in Frequency-Constrained Unit Commitment: A Case Study on La Palma

A.O. Olasoji, D.T.O. Oyedokun, A.V. Adeyinka, M. Rajabdorri, J.E. Sierra-Aguilar, A. Ajayi-Obey, P.P. Aluko-Olokun

10th IEEE Texas Power and Energy Conference - TPEC 2026, Texas (Estados Unidos de América). 08-10 febrero 2026


Resumen:

High penetrations of converter-interfaced renewable energy sources (RES) are eroding synchronous inertia in many power systems, making frequency security a binding constraint in unit commitment (UC), especially for weak island grids. This paper develops an analytical frequency-constrained unit commitment (FCUC) formulation that (i) co-optimises synchronous inertia and synthetic inertia (SI) from wind power plants and (ii) supports both classical DC power-flow and PTDF-based linear sensitivity factor (LSF) network representations within a unified mixed-integer linear programming (MILP) framework. The frequency nadir constraints is enforced via a separable-programming approximation that remains fully MILP-compatible. The model is validated on the real La Palma island system. Results show that, under an unconstrained network (transmission-capacity factor TCF =1.0), varying the emulated inertia constant kem  between 0 s and 6 s has negligible impact on total cost, renewable spillage, and frequency-security indicators: RoCoF remains orders of magnitude below its limit and the nadir constraint is numerically binding in all cases. A comparison between DC and LSF formulations confirms that the LSF model closely reproduces the DC dispatch and frequency metrics while achieving smaller optimality gaps. A subsequent TCF evaluation shows that tightening transmission limits only becomes economically material at TCF=0.6, where costs rise and a small amount of RES curtailment appears, without compromising RoCoF or nadir security. Overall, the results demonstrate that SI from wind can be co-optimised with synchronous inertia and LSF-based transmission constraints in a single tractable FCUC model, providing a structured way to assess inertia provision, wind utilisation, and congestion management in low-inertia island grids.


Resumen divulgativo:

El artículo propone una herramienta para planificar la generación en redes insulares con más renovables, combinando inercia convencional y eólica para mantener segura la frecuencia con menor coste y menos vertido.


Palabras clave: Frequency-constrained unit commitment (FCUC), synthetic inertia (SI), wind power, renewable energy


DOI: DOI icon https://doi.org/10.1109/TPEC67884.2026.11513199

Publicado en: 2026 IEEE Texas Power and Energy Conference (TPEC), pp: 1-6, ISBN: 979-8-3315-5721-8

Fecha de publicación: 15-may-2026


Cita:
A.O. Olasoji, D.T.O. Oyedokun, A.V. Adeyinka, M. Rajabdorri, J.E. Sierra-Aguilar, A. Ajayi-Obey, P.P. Aluko-Olokun, "Co-Optimizing Synthetic and Synchronous Inertia in Frequency-Constrained Unit Commitment: A Case Study on La Palma", presentado en 10th IEEE Texas Power and Energy Conference - TPEC 2026, Texas, Estados Unidos de América, 08-10 febrero 2026. En: 2026 IEEE Texas Power and Energy Conference (TPEC), pp. 1-6, doi: 10.1109/TPEC67884.2026.11513199

    Líneas de investigación:
  • Estabilidad: Estabilidad de gran perturbación, ajuste de protecciones de deslastre de cargas por frecuencia, control de la excitación, estabilidad de pequeña perturbación, ajuste de estabilizadores del sistema de potencia, identificación de modelos de reguladores
  • Sistemas aislados: Islands, microgrids, off-grid
  • Régimen permanente: Flujos de cargas, análisis de restricciones de operación, flujos de cargas óptimo, servicio complementario de control de tensiones, cortocircuitos, protecciones en redes de transporte y distribución, modelos térmicos de cables
  • Integración de energía renovable
  • Planificación y operación de redes y de recursos energéticos distribuidos
  • Modelos de mercado eléctrico para alta penetración de generación renovable
    Grupos de investigación:
  • Instituto de Investigación Tecnológica (IIT)
    ODS:
  • Objetivo 7: Energía asequible y no contaminante
  • Objetivo 9: Industria, innovación e infraestructuras
  • Objetivo 13: Acción por el clima

IIT-26-195C

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