DocumentCode :
571145
Title :
Computing optimal solar penetration in the presence of plug-in electric vehicles
Author :
Chakraborty, Soumyo V. ; Shukla, Sandeep K. ; Thorp, James
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
We have developed a model to identify optimal sizes of aggregate solar PV capacity in a region that maximizes the effective load carrying capacity (ELCC) of the grid in the presence of increasing number of plug-in electric vehicles (PEVs) participating in vehicle-to-grid operations. The model has been implemented using a simulation-based framework performing the following key steps: Compute optimal installed solar capacity without the presence of any PEVs; Compute optimal number of PEVs without the presence of any solar generation; Identify optimal installed solar capacity in the presence of PEVs We ran the model simulation using actual load and solar radiation data from New York City region over 4 years and observed that up to 1,130 MW of ELCC can be contributed by an optimal combination of solar generators and PEVs representing an economic benefit of $113 million per year. Corresponding CO2 emission reductions are above 2,700 kiloton per year.
Keywords :
carbon compounds; environmental factors; solar powered vehicles; solar radiation; CO2; New York City; actual load; carbon dioxide emission reductions; economic benefit; effective load carrying capacity; optimal installed solar capacity; optimal solar penetration; plug-in electric vehicles; solar PV capacity; solar generators; solar radiation data; vehicle-to-grid operations; Aggregates; Batteries; Cities and towns; Computational modeling; Economics; Generators; Load modeling; effective load carrying capacity (ELCC); plug-in electric vehicles (PEV); solar generators; vehicle to grid (V2G);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energytech, 2012 IEEE
Conference_Location :
Cleveland, OH
Print_ISBN :
978-1-4673-1836-5
Electronic_ISBN :
978-1-4673-1834-1
Type :
conf
DOI :
10.1109/EnergyTech.2012.6304647
Filename :
6304647
Link To Document :
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