The integration of PHEV aggregations into a power system with wind resources

Christophe Guille, George Gross

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The rising energy independence and environmental concerns are key drivers in the growing popularity of plug-in hybrid cars (PHEVs). Studies indicate that for 90 % of the Americans who use their cars to get to work every day, the daily commute distance is less than 50 km - or 30 miles - and, on the average, the commuter car remains parked is about 22 hours per day. All the PHEVs have in common the batteries, which provide storage capability that can be effectively harnessed when the vehicles are integrated into the grid. Such storage capability can be used to effectively integrate wind power into the grid. By nature, wind power is intermittent which raises many challenges for the grid operator. The utilization of the storage from the PHEVs enables the power system operator to smooth out the output of the wind farms by storing energy when the wind power output is too high and releasing such energy when the power output is too low. We develop a probabilistic model to take into account the effect of the variability in the PHEV owner behavior and the fact that the PHEVs are not always plugged into the grid. The numerical studies show the positive levelization impact PHEVs can have on wind power operations when grouped in aggregations of large size.

Original languageEnglish (US)
Title of host publication2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010
DOIs
StatePublished - Oct 25 2010
Event2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010 - Rio de Janeiro, Brazil
Duration: Aug 1 2010Aug 6 2010

Publication series

Name2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010

Other

Other2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010
CountryBrazil
CityRio de Janeiro
Period8/1/108/6/10

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering

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