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

Sonja Wogrin; Ilan Momber; Tomas Gomez

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

Sonja Wogrin, Ilan Momber, Tomas Gomez

Publikation: Konferenzbeitrag › Abstract › Begutachtung

Abstract

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.

Originalsprache	englisch
Publikationsstatus	Veröffentlicht - 2014
Extern publiziert	Ja
Veranstaltung	NFORMS Anual Meeting 2014 - San Francisco, USA / Vereinigte Staaten Dauer: 9 Nov. 2014 → 12 Nov. 2014

Konferenz

Konferenz	NFORMS Anual Meeting 2014
Land/Gebiet	USA / Vereinigte Staaten
Ort	San Francisco
Zeitraum	9/11/14 → 12/11/14

Dieses zitieren

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

abstract = "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{\textquoteright}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{\textquoteright}s pro?ts depend on providing the right price signals to the customers.",

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year = "2014",

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TY - CONF

T1 - Modeling decisions of plug-in electric vehicle (PEV) aggregators: an MPEC approach

AU - Wogrin, Sonja

AU - Momber, Ilan

AU - Gomez, Tomas

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

M3 - Abstract

T2 - NFORMS Anual Meeting 2014

Y2 - 9 November 2014 through 12 November 2014

ER -