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Modeling decisions of plug-in electric vehicle (PEV) aggregators: an MPEC approach

S. Wogrin, I. Momber, T. Gómez

Coordinated charging schedules of plug-in electric vehicles (PEVs) by an aggregator may lead to increased system efficiency in allocating resources in generation, transmission and distribution. Hence, we propose an MPEC to optimize the PEV aggregator’s decisions in different electricity markets, using indirect load control by determining optimal retail prices for the PEV. Results of a case study indicate that the aggregator’s pro?ts depend on providing the right price signals to the customers.


INFORMS Anual Meeting 2014, San Francisco, California (United States of America). 09-12 November 2014

Publication date: November 2014.



Citation:
S. Wogrin, I. Momber, T. Gómez, Modeling decisions of plug-in electric vehicle (PEV) aggregators: an MPEC approach, INFORMS Anual Meeting 2014. San Francisco, United States of America, 09-12 November 2014


    Research topics:
  • *Short-Term Operation, Market Bidding and Operating Reserves

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