Research on Reactive Power and Voltage Control for Wind Farm Based on coordinate control of DFIGs and SVG Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.procs.2020.07.066
Wind farm generally uses long-distance transmission mode to transmit electricity, because the grid can not fully support the grid voltage of wind farm. When the wind speed changes, there is a problem of voltage instability at the grid-connection point. However, the reactive power compensation device of the power grid can not meet the requirements of fast reactive power response and compensation. Although doubly-fed induction generators (DFIGs) have fast power decoupling control, its reactive power is limited by active power output. In order to meet the reactive power demand of the power grid, the instability of the voltage at the grid-connection point is solved by coordinating the reactive power output capacity of DFIGs and the Static Var Generator (SVG). This paper proposes a coordinated control method of reactive voltage in wind power plant based on Starsim, which uses the upper computer to send voltage control instructions to control the reactive output of the simulation model in Starsim. The simulation model is built in MATLAB, and the simulation model is put into Starsim. Through the simulation, it is concluded that the control method could stabilize the grid voltage of wind farm.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.procs.2020.07.066
- OA Status
- diamond
- Cited By
- 6
- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W3048064940
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3048064940Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.procs.2020.07.066Digital Object Identifier
- Title
-
Research on Reactive Power and Voltage Control for Wind Farm Based on coordinate control of DFIGs and SVGWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Ruiyang Tang, Bingyang Luo, Xiangtian Deng, Yangwu ShenList of authors in order
- Landing page
-
https://doi.org/10.1016/j.procs.2020.07.066Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.procs.2020.07.066Direct OA link when available
- Concepts
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Scalable Vector Graphics, Computer science, Wind power, Control (management), AC power, Voltage, Control theory (sociology), Electrical engineering, Artificial intelligence, World Wide Web, EngineeringTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2, 2022: 2, 2021: 2Per-year citation counts (last 5 years)
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9Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.generators | 64 |
| abstract_inverted_index.simulation | 152, 157, 165 |
| abstract_inverted_index.coordinated | 122 |
| abstract_inverted_index.instability | 34, 93 |
| abstract_inverted_index.simulation, | 173 |
| abstract_inverted_index.compensation | 43 |
| abstract_inverted_index.coordinating | 104 |
| abstract_inverted_index.electricity, | 9 |
| abstract_inverted_index.instructions | 144 |
| abstract_inverted_index.requirements | 53 |
| abstract_inverted_index.transmission | 5 |
| abstract_inverted_index.compensation. | 60 |
| abstract_inverted_index.long-distance | 4 |
| abstract_inverted_index.grid-connection | 37, 99 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 93 |
| corresponding_author_ids | https://openalex.org/A5082618581 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I196699116 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.9200000166893005 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.68092486 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |