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Sequential frequency regulation strategy for DFIG and battery energy storage system considering artificial deadbands

Lookup NU author(s): Professor Vladimir TerzijaORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2023. To address the issues of the mechanical stress of doubly-fed induction generator (DFIG) and the service life of energy storage systems (ESSs) resulting from excessively and frequently participate in grid frequency regulation (GFR), this paper suggests a sequential GFR of the DFIG and ESS considering the artificial dead-bands. Firstly, the system frequency deviation expression is derived considering the dead-band to analyze the influences of the dead-bands on the grid frequency dynamics. Secondly, based on the artificial dead-bands, the GFR process is divided into three zones: the GFR zone of DFIG, the transaction zone of DFIG and ESS, and the GFR zone of ESS. To avoid the large mechanical stress of the wind turbines and shallow charging and discharging phenomenon of the ESS, the DFIG provides GFR function to mitigate the system frequency fluctuations, while ESS provides frequency regulation function to arrest the grid frequency variation taking into account the condition of state-of-charge constraints for severe frequency disturbances. Finally, simulations are conducted to verify the effectiveness of the proposed strategy under varying wind speed conditions combined with large disturbance. The results show that the proposed sequential GFR can maintain the frequency support while reducing the negative effects of mechanical fatigue of the DFIG and service life of ESS.


Publication metadata

Author(s): Yang D, Li J, Jin Z, Yan G, Wang X, Ding L, Zhang F, Terzija V

Publication type: Article

Publication status: Published

Journal: International Journal of Electrical Power and Energy Systems

Year: 2024

Volume: 155

Print publication date: 01/01/2024

Online publication date: 29/09/2023

Acceptance date: 10/09/2023

Date deposited: 24/10/2023

ISSN (print): 0142-0615

ISSN (electronic): 1879-3517

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.ijepes.2023.109503

DOI: 10.1016/j.ijepes.2023.109503

Data Access Statement: Data will be made available on request.


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Funding

Funder referenceFunder name
2022YFE0141600
National Key Research and Development Program of China

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