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

Research output: Contribution to conference › Abstract › peer-review

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.

Original language	English
Publication status	Published - 2014
Externally published	Yes
Event	NFORMS Anual Meeting 2014 - San Francisco, United States Duration: 9 Nov 2014 → 12 Nov 2014

Conference

Conference	NFORMS Anual Meeting 2014
Country/Territory	United States
City	San Francisco
Period	9/11/14 → 12/11/14

Cite this

@conference{81ff7c9d6b074c06aa93a746047d0f3a,

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.",

author = "Sonja Wogrin and Ilan Momber and Tomas Gomez",

year = "2014",

language = "English",

note = "NFORMS Anual Meeting 2014 ; Conference date: 09-11-2014 Through 12-11-2014",

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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 -