Nonlinear Stability Investigation Of Wind Turbines With Non-autonomous Behavior Based On Transient Damping Characteristics Article Swipe
Sujay Ghosh
,
Mohammad Kazem Bakhshizadeh
,
Guangya Yang
,
Łukasz Kocewiak
,
Bikash C. Pal
,
N. Mithulananthan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7634543
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7634543
As wind and solar power penetration increases, more and more conventional power plants are being replaced; as a result, the nature of transient stability of the system evolves where the converter’s behaviour play dominating role during network events. This has necessitated a re-assessment of the nonlinear stability of the system. So far, the energy function-based transient stability method applied to synchronous machines has been applied to the converter-based system. However, there is ambiguity in terms of the damping quantification capturing the non-autonomous behaviour of the wind turbine systems, such as post-fault active current ramp rate control. This work aims to clarify the similarity between the synchronous machine model and a reduced large signal model of a wind turbine, and the difference in terms of the damping characteristics and how this impacts the system’s stability from a nonlinear perspective. A non-autonomous energy function is discussed that analytically proves that a wind turbine system with post-fault active ramp rate control is more stable compared to no ramp rate control. Finally, the stability boundary is constructed and validated using time-domain simulation studies.
Related Topics
Concepts
Transient (computer programming)
Nonlinear system
Stability (learning theory)
Control theory (sociology)
Wind power
Environmental science
Mechanics
Engineering
Computer science
Physics
Artificial intelligence
Electrical engineering
Quantum mechanics
Operating system
Machine learning
Control (management)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.7634543
- OA Status
- green
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4320351502Canonical identifier for this work in OpenAlex
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https://doi.org/10.5281/zenodo.7634543Digital Object Identifier
- Title
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Nonlinear Stability Investigation Of Wind Turbines With Non-autonomous Behavior Based On Transient Damping CharacteristicsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-02-13Full publication date if available
- Authors
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Sujay Ghosh, Mohammad Kazem Bakhshizadeh, Guangya Yang, Łukasz Kocewiak, Bikash C. Pal, N. MithulananthanList of authors in order
- Landing page
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https://doi.org/10.5281/zenodo.7634543Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://doi.org/10.5281/zenodo.7634543Direct OA link when available
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Transient (computer programming), Nonlinear system, Stability (learning theory), Control theory (sociology), Wind power, Environmental science, Mechanics, Engineering, Computer science, Physics, Artificial intelligence, Electrical engineering, Quantum mechanics, Operating system, Machine learning, Control (management)Top concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.This | 38, 96 |
| abstract_inverted_index.aims | 98 |
| abstract_inverted_index.been | 63 |
| abstract_inverted_index.far, | 51 |
| abstract_inverted_index.from | 134 |
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| abstract_inverted_index.ramp | 93, 155, 164 |
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| abstract_inverted_index.wind | 1, 85, 116, 149 |
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| abstract_inverted_index.large | 111 |
| abstract_inverted_index.model | 107, 113 |
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| abstract_inverted_index.terms | 74, 122 |
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| abstract_inverted_index.using | 175 |
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| abstract_inverted_index.method | 57 |
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| abstract_inverted_index.proves | 146 |
| abstract_inverted_index.signal | 112 |
| abstract_inverted_index.stable | 160 |
| abstract_inverted_index.system | 26, 151 |
| abstract_inverted_index.applied | 58, 64 |
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| abstract_inverted_index.clarify | 100 |
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| abstract_inverted_index.damping | 77, 125 |
| abstract_inverted_index.events. | 37 |
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| abstract_inverted_index.network | 36 |
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| abstract_inverted_index.system. | 49, 68 |
| abstract_inverted_index.turbine | 86, 150 |
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| abstract_inverted_index.However, | 69 |
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| abstract_inverted_index.compared | 161 |
| abstract_inverted_index.control. | 95, 166 |
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| abstract_inverted_index.machines | 61 |
| abstract_inverted_index.studies. | 178 |
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| abstract_inverted_index.quantification | 78 |
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| abstract_inverted_index.converter-based | 67 |
| cited_by_percentile_year | |
| countries_distinct_count | 3 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8700000047683716 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.01261283 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |