Transient stability enhancement of virtual synchronous generators with virtual resistance Article Swipe
Emmanuel Ebinyu
,
Omar Abdel‐Rahim
,
Sobhy M. Abdelkader
,
Masahito Shoyama
,
Diaa‐Eldin A. Mansour
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2478/jee-2024-0052
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2478/jee-2024-0052
Virtual synchronous generators (VSGs) incorporate virtual resistance (VR) in inverter control as a damping mechanism for oscillations that appear around the synchronous frequency due to interactions between the inverter impedance and the line impedance while operating in low inertia grids. Damping is critical for synchronization stability in the small-signal and large-signal disturbance scenarios to suppress oscillations that threaten system stability. While VR enhances stability in the steady state, it is shown that its conventional application affects the transient stability of VSGs by reducing the angle overshoot range in the dynamic behaviour of the power angle δ, illustrated using the power-angle ( P − δ ) and frequency-angle ( δ ̇− δ ) curves. In this article, a novel damping mechanism to improve the transient stability of VSGs using VR to enhance the power angle dynamics is proposed. By using the concept of virtual point of common coupling, the virtual power of the internal VSG is introduced in the active power feedback during a voltage sag, providing an equivalent damping effect proportional to the VR applied. In this way, the negative effects of VR on transient stability are averted while VR is used to improve the power angle dynamics of conventional VSG. Simulations of different transient stability scenarios are carried out in MATLAB/Simulink to verify the proposed method.
Related Topics
Concepts
Control theory (sociology)
Overshoot (microwave communication)
Transient (computer programming)
Inertia
Electric power system
Electrical impedance
SIGNAL (programming language)
Stability (learning theory)
Power (physics)
MATLAB
Computer science
Engineering
Physics
Telecommunications
Classical mechanics
Electrical engineering
Quantum mechanics
Machine learning
Operating system
Artificial intelligence
Control (management)
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2478/jee-2024-0052
- https://sciendo.com/pdf/10.2478/jee-2024-0052
- OA Status
- diamond
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405103259
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405103259Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2478/jee-2024-0052Digital Object Identifier
- Title
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Transient stability enhancement of virtual synchronous generators with virtual resistanceWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-12-01Full publication date if available
- Authors
-
Emmanuel Ebinyu, Omar Abdel‐Rahim, Sobhy M. Abdelkader, Masahito Shoyama, Diaa‐Eldin A. MansourList of authors in order
- Landing page
-
https://doi.org/10.2478/jee-2024-0052Publisher landing page
- PDF URL
-
https://sciendo.com/pdf/10.2478/jee-2024-0052Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://sciendo.com/pdf/10.2478/jee-2024-0052Direct OA link when available
- Concepts
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Control theory (sociology), Overshoot (microwave communication), Transient (computer programming), Inertia, Electric power system, Electrical impedance, SIGNAL (programming language), Stability (learning theory), Power (physics), MATLAB, Computer science, Engineering, Physics, Telecommunications, Classical mechanics, Electrical engineering, Quantum mechanics, Machine learning, Operating system, Artificial intelligence, Control (management), Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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39Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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