A Comparative Study between Reduced-Order and Switching Models of Grid-Following Inverter Interfacing Renewable Energy Sources Article Swipe
Ibrahim Abuishmais
,
Qusay Salem
,
Rafat Aljarrah
,
Ayman Al‐Quraan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1155/2023/8849576
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1155/2023/8849576
This paper presents a performance comparison between switching and reduced-order models of grid-following inverters. Different models have been developed to study the inverter’s operation using MATLAB and PSIM simulation tools. These models offer a tradeoff between accuracy and computational burden. The switching model fully represents the discontinuities in the inverter due to switching, but such a model demands high computational resources. The inverter representation is simplified using reduced-order models, which is common in the literature. However, the fidelity of these simplified models might not be adequate for some applications. Therefore, it is essential to investigate the performance of such models closely to ensure their suitability depending on the purpose of the analysis. Hence, a comparative study between switching and reduced-order models is presented here by simulating different scenarios and operation conditions. The results have validated the efficacy of the reduced-order model in representing the grid-following inverter’s operation in both steady state and response to a step change resulting from active or reactive power variation. Unlike the switching model, the findings illustrate that the reduced-order modeling fails to represent harmonics and losses. After simulating different scenarios, this work highlights the main differences between the switching and reduced-order models to facilitate the choice of the proper modeling method for researchers.
Related Topics
Concepts
Inverter
Interfacing
Computer science
Harmonics
MATLAB
Grid
Renewable energy
Power (physics)
Electronic engineering
Control theory (sociology)
Engineering
Voltage
Electrical engineering
Mathematics
Control (management)
Physics
Operating system
Artificial intelligence
Computer hardware
Geometry
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2023/8849576
- https://downloads.hindawi.com/journals/ijer/2023/8849576.pdf
- OA Status
- gold
- Cited By
- 5
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388750510
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388750510Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2023/8849576Digital Object Identifier
- Title
-
A Comparative Study between Reduced-Order and Switching Models of Grid-Following Inverter Interfacing Renewable Energy SourcesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-17Full publication date if available
- Authors
-
Ibrahim Abuishmais, Qusay Salem, Rafat Aljarrah, Ayman Al‐QuraanList of authors in order
- Landing page
-
https://doi.org/10.1155/2023/8849576Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/ijer/2023/8849576.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/ijer/2023/8849576.pdfDirect OA link when available
- Concepts
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Inverter, Interfacing, Computer science, Harmonics, MATLAB, Grid, Renewable energy, Power (physics), Electronic engineering, Control theory (sociology), Engineering, Voltage, Electrical engineering, Mathematics, Control (management), Physics, Operating system, Artificial intelligence, Computer hardware, Geometry, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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