Publication type: Conference paper
Type of review: Peer review (publication)
Title: Tuning of grid-forming converters with a settings-free optimization algorithm to improve frequency response of low-inertia systems
Authors: Ramirez Gonzalez, Miguel
Segundo Sevilla, Felix Rafael
Korba, Petr
et. al: No
DOI: 10.1109/EEEIC/ICPSEurope57605.2023.10194694
Proceedings: 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Conference details: 23rd International Conference on Environment and Electrical Engineering (EEEIC) and 7th Industrial and Commercial Power Systems Europe (I&CPS Europe), Madrid, Spain, 6-9 June 2023
Issue Date: 3-Aug-2023
Publisher / Ed. Institution: IEEE
ISBN: 979-8-3503-4743-2
Language: English
Subjects: Power system stability; Grid-forming converter; Virtual synchronous machine; Settings-free optimization; Frequency dynamics
Subject (DDC): 621.3: Electrical, communications, control engineering
Abstract: The substantial integration of non-synchronous energy resources into power systems is leading to different challenges in frequency dynamics. Although grid-forming (GFM) converters with particular control structures can potentially deal with that, the appropriate selection of GFM control parameters to achieve a given frequency response is still an issue that needs further research. Therefore, an approach for the determination of the inertia and damping factors in a Virtual Synchronous Machine (VSM) based GFM control scheme is presented in this paper. The tuning of these parameters is formulated here as a constrained optimization problem, which is solved through an iterative strategy using the Jaya optimization algorithm (JOA). Since JOA does not depend on any algorithm-specific settings, its application can be more direct and flexible (as compared to popular alternatives where the value of these settings may significantly affect overall algorithm performance). The effectiveness of the proposed approach is illustrated through a sample system under several penetration levels of converter-interfaced generation, where frequency support is provided by optimized GFM control. Simulations results show that the JOA based tuning strategy can provide a systematic selection of VSM parameters to appropriately shape the system frequency response after a given power imbalance.
URI: https://digitalcollection.zhaw.ch/handle/11475/28489
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Energy Systems and Fluid Engineering (IEFE)
Appears in collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.
Show full item record
Ramirez Gonzalez, M., Segundo Sevilla, F. R., & Korba, P. (2023, August 3). Tuning of grid-forming converters with a settings-free optimization algorithm to improve frequency response of low-inertia systems. 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). https://doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194694
Ramirez Gonzalez, M., Segundo Sevilla, F.R. and Korba, P. (2023) ‘Tuning of grid-forming converters with a settings-free optimization algorithm to improve frequency response of low-inertia systems’, in 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE. Available at: https://doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194694.
M. Ramirez Gonzalez, F. R. Segundo Sevilla, and P. Korba, “Tuning of grid-forming converters with a settings-free optimization algorithm to improve frequency response of low-inertia systems,” in 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Aug. 2023. doi: 10.1109/EEEIC/ICPSEurope57605.2023.10194694.
RAMIREZ GONZALEZ, Miguel, Felix Rafael SEGUNDO SEVILLA und Petr KORBA, 2023. Tuning of grid-forming converters with a settings-free optimization algorithm to improve frequency response of low-inertia systems. In: 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). Conference paper. IEEE. 3 August 2023. ISBN 979-8-3503-4743-2
Ramirez Gonzalez, Miguel, Felix Rafael Segundo Sevilla, and Petr Korba. 2023. “Tuning of Grid-Forming Converters with a Settings-Free Optimization Algorithm to Improve Frequency Response of Low-Inertia Systems.” Conference paper. In 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE. https://doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194694.
Ramirez Gonzalez, Miguel, et al. “Tuning of Grid-Forming Converters with a Settings-Free Optimization Algorithm to Improve Frequency Response of Low-Inertia Systems.” 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), IEEE, 2023, https://doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194694.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.