Inclusion of frequency nadir constraint in the unit commitment problem of small power systems using machine learning

Trovato, 2018, Unit commitment with inertia-dependent and multispeed allocation of frequency response services, IEEE Trans. Power Syst., 34, 1537, 10.1109/TPWRS.2018.2870493 Badesa, 2019, Simultaneous scheduling of multiple frequency services in stochastic unit commitment, IEEE Trans. Power Syst., 34, 3858, 10.1109/TPWRS.2019.2905037 Paturet, 2020, Stochastic unit commitment in low-inertia grids, IEEE Trans. Power Syst., 35, 3448, 10.1109/TPWRS.2020.2987076 Mousavi-Taghiabadi, 2020, Integration of wind generation uncertainties into frequency dynamic constrained unit commitment considering reserve and plug in electric vehicles, J. Clean. Prod., 276, 10.1016/j.jclepro.2020.124272 Rabbanifar, 2020, Frequency-constrained unit-commitment using analytical solutions for system frequency responses considering generator contingencies, IET Gener. Transm. Distrib., 14, 3548, 10.1049/iet-gtd.2020.0097 Shahidehpour, 2021, Two-stage chance-constrained stochastic unit commitment for optimal provision of virtual inertia in wind-storage systems, IEEE Trans. Power Syst. Ferrandon-Cervantes, 2022, Inclusion of frequency stability constraints in unit commitment using separable programming, Electr. Power Syst. Res., 203 Lagos, 2021, Data-driven frequency dynamic unit commitment for island systems with high RES penetration, IEEE Trans. Power Syst., 10.1109/TPWRS.2021.3060891 Zhang, 2021, Approximating trajectory constraints with machine learning-microgrid islanding with frequency constraints, IEEE Trans. Power Syst., 36, 1239, 10.1109/TPWRS.2020.3015913 Zhang, 2021, Encoding frequency constraints in preventive unit commitment using deep learning with region-of-interest active sampling, IEEE Trans. Power Syst., 1 Yang, 2022, Optimal reserve allocation with simulation-driven frequency dynamic constraint: A distributionally robust approach, IEEE Trans. Circuits Syst. II, 1 Liu, 2022, A comparison of machine learning methods for frequency nadir estimation in power systems, 1 Chamorro, 2020, Nadir frequency estimation in low-inertia power systems, 918 Jung, 2018 Sigrist, 2016 Santurino, 2022, Optimal coordinated design of under-frequency load shedding and energy storage systems, Electr. Power Syst. Res., 211, 10.1016/j.epsr.2022.108423 de Canarias, 2019, Consejería de transición ecológica, lucha contra el cambio climático y planificación territorial, Gob. Canar. Pedregosa, 2011, Scikit-learn: Machine learning in python, J. Mach. Learn. Res., 12, 2825