AI-Based Technique to Enhance Transient Response and Resiliency of Power Electronic Dominated Grids via Grid-Following Inverters Article Swipe
Mohsen Hosseinzadehtaher
,
Alireza Zare
,
Ahmad Khan
,
Muhammad F. Umar
,
Silvanus D’silva
,
Mohammad B. Shadmand
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/tie.2023.3265067
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/tie.2023.3265067
This paper presents a frequency restoration method to enhance power electronic dominated grid (PEDG) resiliency and transient response via re-defining grid following inverters (GFLIs) role at the grid-edge. An artificial intelligence-based power reference correction (AI-PRC) module is developed for GFLIs to autonomously adjust their power setpoints during transient disturbances. A detailed analytical validation is provided that shows control rules in PEDG intrinsically follow the underlying dynamic of the swing-based machines to extend its stability boundary. Considering this fact, comprehensive transient and steady state-based mathematical models are used for constructing the learning database of the proposed AI-PRC. The proposed training approach can deal with grid's characteristics alterations and uncertainties. Thus, this approach incorporates PEDG's effective variables that shapes its dynamic response during transient disturbances. Subsequently, a neural network is trained by Bayesian regularization algorithm (BRA) to realize the proposed AI-PRC scheme for frequency support via GFLIs. Several simulation and experimental case studies results validate the functionality of the proposed AI-PRC towards enhancing the PEDG's transient response and resiliency via GFLIs. The provided case studies demonstrate significant improvement in frequency restoration in response to transient disturbances.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tie.2023.3265067
- https://ieeexplore.ieee.org/ielx7/41/4387790/10100631.pdf
- OA Status
- hybrid
- Cited By
- 27
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4365128484
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4365128484Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/tie.2023.3265067Digital Object Identifier
- Title
-
AI-Based Technique to Enhance Transient Response and Resiliency of Power Electronic Dominated Grids via Grid-Following InvertersWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-11Full publication date if available
- Authors
-
Mohsen Hosseinzadehtaher, Alireza Zare, Ahmad Khan, Muhammad F. Umar, Silvanus D’silva, Mohammad B. ShadmandList of authors in order
- Landing page
-
https://doi.org/10.1109/tie.2023.3265067Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/41/4387790/10100631.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/41/4387790/10100631.pdfDirect OA link when available
- Concepts
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Transient (computer programming), Transient analysis, Grid, Power grid, Transient response, Power (physics), Electronic engineering, Computer science, Electrical engineering, Engineering, Physics, Mathematics, Geometry, Quantum mechanics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
27Total citation count in OpenAlex
- Citations by year (recent)
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2025: 10, 2024: 12, 2023: 5Per-year citation counts (last 5 years)
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27Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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