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Grid-forming control strategies for black start by offshore wind power plants
- Source :
- Wind Energy Science, Vol 5, Pp 1297-1313 (2020), Jain, A, Sakamuri, J N & Cutululis, N A 2020, ' Grid-forming control strategies for black start by offshore wind power plants ', Wind Energy Science, vol. 5, no. 4, pp. 1297-1313 . https://doi.org/10.5194/wes-5-1297-2020, Wind Energy Science
- Publication Year :
- 2020
- Publisher :
- Copernicus Publications, 2020.
-
Abstract
- Large-scale integration of renewable energy sources with power-electronic converters is pushing the power system closer to its dynamic stability limit. This has increased the risk of wide-area blackouts. Thus, the changing generation profile in the power system necessitates the use of alternate sources of energy such as wind power plants, to provide black-start services in the future. However, this requires grid-forming and not the traditionally prevalent grid-following wind turbines. This paper introduces the general working principle of grid-forming control and examines four of such control schemes. To compare their performance, a simulation study has been carried out for the different stages of energization of onshore load by a high-voltage direct-current (HVDC)-connected wind power plant. Their transient behaviour during transformer inrush, converter pre-charging and de-blocking, and onshore block-load pickup has been compared and analysed qualitatively to highlight the advantages and disadvantages of each control strategy.
- Subjects :
- Wind power
Renewable Energy, Sustainability and the Environment
business.industry
Computer science
020209 energy
020208 electrical & electronic engineering
lcsh:TJ807-830
lcsh:Renewable energy sources
Energy Engineering and Power Technology
02 engineering and technology
Converters
Grid
7. Clean energy
Inrush current
Automotive engineering
Renewable energy
law.invention
Offshore wind power
Electric power system
law
0202 electrical engineering, electronic engineering, information engineering
SDG 7 - Affordable and Clean Energy
business
Transformer
Subjects
Details
- Language :
- English
- ISSN :
- 23667451 and 23667443
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Wind Energy Science
- Accession number :
- edsair.doi.dedup.....bacbed0507ba1bafd8d6df93e5fc959d
- Full Text :
- https://doi.org/10.5194/wes-5-1297-2020