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A Novel Contingency-Aware Primary Frequency Control for Power Grids with High CIG-Penetration

Lookup NU author(s): Professor Vladimir TerzijaORCiD

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Abstract

IEEEThe ever-growing trend of Converter-Interfaced Generation (CIG) integration in electrical power grids has led to a tremendous concern about systems' inertia, stability, and frequency regulation effectiveness. During contingencies, like the loss of a large generator, the primary frequency control is deployed to compensate for the frequency drop. However, as CIG penetration grows, traditional primary frequency control becomes less effective in mitigating significant post-contingency frequency deviations. To address this problem, we introduce a novel control framework that fully utilizes the proportional primary frequency control concept manifested in the contingency-aware control discontinuity. The proposed framework collects information about the disturbance and redistributes control gains according to the pre-calculated optimal strategy employing dynamic properties of both synchronous generation and CIG. It incorporates a novel frequency security assessment using frequency majorant functions, providing a conservative low boundary estimate of the frequency nadir. Numerical studies demonstrate that this proposed control strategy reduces nadir deviation by 49% and shortens the transient period by 30%. Furthermore, we illustrate the optimization of droop control gains considering CIG characteristics, such as location and inertia, to enhance system stability by allowing CIGs to perform primary frequency control functions from synchronous generators.


Publication metadata

Author(s): Khamisov OO, Ali M, Sayfutdinov T, Jiang Y, Terzija V, Vorobev P

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Power Systems

Year: 2024

Volume: 39

Issue: 4

Pages: 5792-5805

Print publication date: 01/07/2024

Online publication date: 12/12/2023

Acceptance date: 02/04/2018

ISSN (print): 0885-8950

ISSN (electronic): 1558-0679

Publisher: IEEE

URL: https://doi.org/10.1109/TPWRS.2023.3339596

DOI: 10.1109/TPWRS.2023.3339596


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