A Comprehensive Survey of Accurate and Efficient Aggregation Modeling for High Penetration of Large-Scale Wind Farms in Smart Grid
Title: | A Comprehensive Survey of Accurate and Efficient Aggregation Modeling for High Penetration of Large-Scale Wind Farms in Smart Grid |
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Authors: | Fang Liu, Junjie Ma, Wendan Zhang, Min Wu |
Source: | Applied Sciences, Vol 9, Iss 4, p 769 (2019) |
Publisher Information: | MDPI AG, 2019. |
Publication Year: | 2019 |
Collection: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Biology (General) LCC:Physics LCC:Chemistry |
Subject Terms: | aggregation model, wind farm, wind speed model, wind turbine generator, transmission system, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
More Details: | As one of the important renewable energies, wind power has been exploited worldwide. Modeling plays an important role in the high penetration of wind farms in smart grids. Aggregation modeling, whose benefits include low computational complexity and high computing speed, is widely used in wind farm modeling and simulation. To contribute to the development of wind power generation, a comprehensive survey of the aggregation modeling of wind farms is given in this article. A wind farm aggregation model consists of three parts, respectively, the wind speed model, the wind turbine generator (WTG) model, and the WTG transmission system model. Different modeling and aggregation methods, principles, and formulas for the above three parts are introduced. First, the features and emphasis of different wind speed models are discussed. Then, the aggregated wind turbine generator (WTG) models are divided into single WTG and multi-WTG aggregation models, considering the aggregation of wind turbines and generators, respectively. The calculation methods for the wind conditions and parameters of different aggregation models are discussed. Finally, the WTG transmission model of the wind farm from the aggregation bus is introduced. Some research directions are highlighted in the end according to the issues related to the aggregation modeling of wind farms in smart grids. |
Document Type: | article |
File Description: | electronic resource |
Language: | English |
ISSN: | 2076-3417 |
Relation: | https://www.mdpi.com/2076-3417/9/4/769; https://doaj.org/toc/2076-3417 |
DOI: | 10.3390/app9040769 |
Access URL: | https://doaj.org/article/310264a27ed548e69bf7fdde645bf5d2 |
Accession Number: | edsdoj.310264a27ed548e69bf7fdde645bf5d2 |
Database: | Directory of Open Access Journals |
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RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app9040769 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 769 Subjects: – SubjectFull: aggregation model Type: general – SubjectFull: wind farm Type: general – SubjectFull: wind speed model Type: general – SubjectFull: wind turbine generator Type: general – SubjectFull: transmission system Type: general – SubjectFull: Technology Type: general – SubjectFull: Engineering (General). Civil engineering (General) Type: general – SubjectFull: TA1-2040 Type: general – SubjectFull: Biology (General) Type: general – SubjectFull: QH301-705.5 Type: general – SubjectFull: Physics Type: general – SubjectFull: QC1-999 Type: general – SubjectFull: Chemistry Type: general – SubjectFull: QD1-999 Type: general Titles: – TitleFull: A Comprehensive Survey of Accurate and Efficient Aggregation Modeling for High Penetration of Large-Scale Wind Farms in Smart Grid Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fang Liu – PersonEntity: Name: NameFull: Junjie Ma – PersonEntity: Name: NameFull: Wendan Zhang – PersonEntity: Name: NameFull: Min Wu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 9 – Type: issue Value: 4 Titles: – TitleFull: Applied Sciences Type: main |
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