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Cited by 750

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HVDC Connection of Offshore Wind Farms to the Transmission System

Bresesti, Paola, Kling, Wil L., Hendriks, Ralph L., Vailati, Riccardo·2007·IEEE Transactions on Energy Conversion

Abstract

This paper presents a technical and economic analysis to evaluate the benefits and drawbacks of grid connecting offshore wind farms through a dc link. A first case, concerning a 100-MW wind farm, is thoroughly investigated and cases of larger wind farms (200 and 500 MW) are presented. Three different transmission solutions are compared: 150-kV ac, 400-kV ac, and high-voltage dc based on voltage sourced converters (VSC-HVDC). After a brief overview of the features of these connection solutions, the related operational aspects are evaluated. An economic assessment compares the dc connection option to the ac alternatives, taking into account the investment, operation, and maintenance costs, and the negative valorization of losses and energy not supplied. Economic assessment includes sensitivity analyses of parameters, which could impact the 100-MW wind farm: distance, component costs, dc converter reliability, and dc converter losses.

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Crossref · 10.1109/tec.2006.889624

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Metadata

Authors
Bresesti, P., Kling, W. L., Hendriks, R. L., & Vailati, R.
Venue
IEEE Transactions on Energy Conversion
Published
2007-03
Volume
22
Issue
1
Pages
37-43
ISSN
0885-8969 (ISSN-L)
OpenAlex
W2120308393
Cited by
750
References
0
FWCI
20.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: HVDC Connection of Offshore Wind Farms to the Transmission System. https://app.cochat.ai/papers/10.1109/tec.2006.889624
The paper
Bresesti, P., Kling, W. L., Hendriks, R. L., & Vailati, R. (2007). HVDC Connection of Offshore Wind Farms to the Transmission System. IEEE Transactions on Energy Conversion. https://doi.org/10.1109/tec.2006.889624

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.