An MPEC for electricity retail alternatives of plug-in electric vehicle (PEV) aggregators

Ilan Momber, Sonja Wogrin, Tomás Gómez

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Coordinated charging schedules of plug-in electric vehicles (PEVs) by an aggregator agent may lead to increased system efficiency in allocating resources in generation, transmission and distribution. To achieve optimal charging schedules, many studies have assumed that the PEV aggregator can exercise full direct load control. This paper proposes a mathematical program with equilibrium constraints for the PEV aggregator's decision making in different electricity markets, using indirect load control by determining optimal retail prices for the PEV. This permits the final customers to decide on their charging schedule by decentralized profit optimization. These decisions respect a potential discomfort that may arise when PEV users have to deviate from their preferred charging schedule as well as include the option of using alternative sources of energy. In a small case study of 3 vehicle clusters and 6 time periods the model's functionality is highlighted. Results indicate that under reasonable competition on the retail market, the PEV aggregator's profitability depends on providing the right price signals to the final customers, such that the most efficient charging schedule response is achieved.

Original languageEnglish
Title of host publicationProceedings - 2014 Power Systems Computation Conference, PSCC 2014
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9788393580132
Publication statusPublished - 10 Feb 2014
Externally publishedYes
Event2014 Power Systems Computation Conference, PSCC 2014 - Wroclaw, Poland
Duration: 18 Aug 201422 Aug 2014

Publication series

NameProceedings - 2014 Power Systems Computation Conference, PSCC 2014


Conference2014 Power Systems Computation Conference, PSCC 2014


  • Bi-Level Optimization
  • Optimal PEV Charging Schedules
  • Plug-in Electric Vehicle (PEV) Aggregator
  • Retail Tariffs for Electricity

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Computer Science Applications


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