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Single-Machine Frequency Model and Parameter Identification for Inertial Constraints in Unit Commitment

Author

Listed:
  • Sung-Eun Kim

    (Department of Electronic and Electrical Engineering, Hongik University, Seoul 04066, Korea)

  • Yeong-Han Chun

    (Department of Electronic and Electrical Engineering, Hongik University, Seoul 04066, Korea)

Abstract

In recent years, the need for generation mixes that consider the inertial constraints in unit commitment (UC) has increased because the inertia of these systems has decreased with the increased use of renewable energy. In these circumstances, single-machine models can calculate the minimum frequency and rate of change of frequency (RoCoF) at a high speed in terms of the characteristics of the changes in the generation mix, in order to identify the generation mixes that can satisfy inertial constraints. This study proposed methods to determine the parameters of the reduced frequency response (RFR) model, which is a single-machine model that considers the nonlinearity caused by restrictions on the generator’s output power, in order to apply inertial constraints to UC. The RFR models can include various forms of governor models and consider the nonlinear response characteristics of restrictions on the generator’s output power that change according to the scales of contingencies, system inertia, and changes in load characteristics through these parameters. From the simulations of real systems, it was observed that the parameters determined through the proposed methods achieved considerable accuracy in calculating the minimum frequency and RoCoF with the RFR model.

Suggested Citation

  • Sung-Eun Kim & Yeong-Han Chun, 2021. "Single-Machine Frequency Model and Parameter Identification for Inertial Constraints in Unit Commitment," Energies, MDPI, vol. 14(18), pages 1-19, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5961-:d:639332
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    References listed on IDEAS

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    1. Tielens, Pieter & Van Hertem, Dirk, 2016. "The relevance of inertia in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 999-1009.
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    Cited by:

    1. Sung-Eun Kim & Yeong-Han Chun, 2024. "Modeling of Linearized Generator Inertia Constraints for Unit Commitment," Energies, MDPI, vol. 17(5), pages 1-17, February.

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