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Sensitivity Analysis of the Impact of the Sub- Hourly Stochastic Unit Commitment on Power System Dynamics

Author

Listed:
  • Taulant Kërçi

    (School of Electrical and Electronic Engineering, University College Dublin, Belfield, Dublin 4, Ireland)

  • Juan S. Giraldo

    (Electrical Energy Systems, Department of Electrical Engineering, Eindhoven University of Technology, 5600 Eindhoven, The Netherlands)

  • Federico Milano

    (School of Electrical and Electronic Engineering, University College Dublin, Belfield, Dublin 4, Ireland)

Abstract

Subhourly modeling of power systems and the use of the stochastic optimization are two relevant solutions proposed in the literature to address the integration of stochastic renewable energy sources. With this aim, this paper deals with the effect of different formulations of the subhourly stochastic unit commitment (SUC) problem on power system dynamics. Different SUC models are presented and embedded into time domain simulations (TDS) through a cosimulation platform. The objective of the paper is to study the combined impact of different frequency control/machine parameters and different SUC formulations on the long-term dynamic behaviour of power systems. The analysis is based on extensive Monte Carlo TDS (MC-TDS) and a variety of scenarios based on the New England 39-bus system.

Suggested Citation

  • Taulant Kërçi & Juan S. Giraldo & Federico Milano, 2020. "Sensitivity Analysis of the Impact of the Sub- Hourly Stochastic Unit Commitment on Power System Dynamics," Energies, MDPI, vol. 13(6), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1468-:d:334905
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    References listed on IDEAS

    as
    1. Wang, Jiadong & Wang, Jianhui & Liu, Cong & Ruiz, Juan P., 2013. "Stochastic unit commitment with sub-hourly dispatch constraints," Applied Energy, Elsevier, vol. 105(C), pages 418-422.
    2. Antonio J. Conejo & Miguel Carrión & Juan M. Morales, 2010. "Decision Making Under Uncertainty in Electricity Markets," International Series in Operations Research and Management Science, Springer, number 978-1-4419-7421-1, July-Dece.
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