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Effect of DFIG control parameters on small signal stability in power systems

The doubly-fed induction generator (DFIG) with virtual inertia control and reactive damping control gives a renewable energy generation system inertia and damping characteristics similar to those of a thermal power plant, and the parameters of the control strategy have a direct impact on the small-s...

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Autores principales: Qi, Liu, jiahui, Wu, Haiyun, Wang, Hua, Zhang, Jian, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922310/
https://www.ncbi.nlm.nih.gov/pubmed/36774425
http://dx.doi.org/10.1038/s41598-023-29278-5
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author Qi, Liu
jiahui, Wu
Haiyun, Wang
Hua, Zhang
Jian, Yang
author_facet Qi, Liu
jiahui, Wu
Haiyun, Wang
Hua, Zhang
Jian, Yang
author_sort Qi, Liu
collection PubMed
description The doubly-fed induction generator (DFIG) with virtual inertia control and reactive damping control gives a renewable energy generation system inertia and damping characteristics similar to those of a thermal power plant, and the parameters of the control strategy have a direct impact on the small-signal stability of the system. This paper firstly introduces the operating characteristics and control strategies of DFIG-based damping control and virtual inertia control, establishes a small-signal model of the control-based DFIG integrated interconnected system, and investigates the effects of virtual inertia and reactive damping values on the small-signal stability of the system; then, the maximum damping ratio of the interval oscillation mode in small disturbance analysis is taken as the optimization objective, and the control parameters are the optimization variables. An optimization method of inertia and damping parameters is established for improving the small disturbance stability of the system. The results show that the optimization procedure could improve the damping ratio of the interval oscillation mode while ensuring the system frequency. The effects of virtual inertia and reactive damping values on the small signal stability of the system are investigated, and an optimal allocation model and method for virtual inertia used to improve the small disturbance stability of the system is proposed.
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spelling pubmed-99223102023-02-13 Effect of DFIG control parameters on small signal stability in power systems Qi, Liu jiahui, Wu Haiyun, Wang Hua, Zhang Jian, Yang Sci Rep Article The doubly-fed induction generator (DFIG) with virtual inertia control and reactive damping control gives a renewable energy generation system inertia and damping characteristics similar to those of a thermal power plant, and the parameters of the control strategy have a direct impact on the small-signal stability of the system. This paper firstly introduces the operating characteristics and control strategies of DFIG-based damping control and virtual inertia control, establishes a small-signal model of the control-based DFIG integrated interconnected system, and investigates the effects of virtual inertia and reactive damping values on the small-signal stability of the system; then, the maximum damping ratio of the interval oscillation mode in small disturbance analysis is taken as the optimization objective, and the control parameters are the optimization variables. An optimization method of inertia and damping parameters is established for improving the small disturbance stability of the system. The results show that the optimization procedure could improve the damping ratio of the interval oscillation mode while ensuring the system frequency. The effects of virtual inertia and reactive damping values on the small signal stability of the system are investigated, and an optimal allocation model and method for virtual inertia used to improve the small disturbance stability of the system is proposed. Nature Publishing Group UK 2023-02-11 /pmc/articles/PMC9922310/ /pubmed/36774425 http://dx.doi.org/10.1038/s41598-023-29278-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Qi, Liu
jiahui, Wu
Haiyun, Wang
Hua, Zhang
Jian, Yang
Effect of DFIG control parameters on small signal stability in power systems
title Effect of DFIG control parameters on small signal stability in power systems
title_full Effect of DFIG control parameters on small signal stability in power systems
title_fullStr Effect of DFIG control parameters on small signal stability in power systems
title_full_unstemmed Effect of DFIG control parameters on small signal stability in power systems
title_short Effect of DFIG control parameters on small signal stability in power systems
title_sort effect of dfig control parameters on small signal stability in power systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922310/
https://www.ncbi.nlm.nih.gov/pubmed/36774425
http://dx.doi.org/10.1038/s41598-023-29278-5
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