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  4. Wind farm power management by high penetration of PHEV
 
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Wind farm power management by high penetration of PHEV

Publikationstyp
Conference Paper
Date Issued
2011-07
Sprache
English
Author(s)
Ghanbarzadeh, Taraneh  
Edith Cowan University
Teimourzadeh Baboli, Payam  orcid-logo
Rostami, Maryam
Parsa Moghaddam, Mohsen  
Sheikh-el-eslami Mohammad Kazem  
Tarbiat Modares University
TORE-URI
https://hdl.handle.net/11420/45896
First published in
IEEE Power and Energy Society General Meeting  
Number in series
2011
Article Number
6039902
Citation
IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future 2011: 6039902
Contribution to Conference
IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future 2011  
Publisher DOI
10.1109/PES.2011.6039902
Scopus ID
2-s2.0-82855177798
Publisher
IEEE
ISBN
978-1-4577-1001-8
978-1-4577-1002-5
978-1-4577-1000-1
In the context of rapidly expanding renewable energy resources, the wind power is in the center of interest. Many countries have set a goal for high penetration levels of wind power generation. At a high penetration level, an extra fast response reserve capacity is needed to cover the shortfall of generation when a sudden variation of wind takes place. To enable a proper management of the uncertainty, this paper presents an approach to make the wind power a more reliable source by using vehicle-to-grid (V2G) technology. High penetration of Plug-in Electric Vehicle (PHEV) is anticipated in the next years due to the benefits for both environment and end-users. Consequently, combining the wind power generation system with V2G will reduce the intermittency of wind power and will lead to a sustainable development. Therefore, PHEVs can stabilize the output power of the wind farm by providing a kind of storage capacity for electric energy during high wind speed and deliver it in low wind speed. It also requires a scheduling for charging of the PHEV's batteries so it is important to estimate the reasonable number of participating vehicles for the desired applications. The approach of the model has been justified by conducting numerical studies using actual wind histograms of Sotavento wind farm in Spain.
DDC Class
600: Technology
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