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Doctoral Conference on Computing, Electrical and Industrial Systems

DoCEIS 2019: Technological Innovation for Industry and Service Systems pp 343–352Cite as

Electric Vehicles Aggregation in Market Environment: A Stochastic Grid-to-Vehicle and Vehicle-to-Grid Management

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Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 553))

Abstract

This paper addresses a development of a support management system for a power system aggregator managing a fleet of electric vehicles and bidding in a day-ahead electricity market. The support management system is modeled by stochastic mixed integer linear programming approach. The charge and discharge of the batteries of the fleet of vehicles are brought about to a convenient contribution for the maximization of the expected profit of the aggregator. The optimization takes into consideration the profiles of usage of the vehicle owners and the battery degradation of the vehicles. The vehicles are assumed as bidirectional energy flow units: allowing grid-to-vehicle or vehicle-to-grid operation modes. A strong interaction of information exchange is assumed between the aggregator and vehicle owners. A set of scenarios is created by a scenario generation method based on the Kernel Density Estimation technique and are subjected to a reduction by a K-means clustering technique. A case study with data of Electricity Market of Iberian Peninsula is presented to drive conclusion about the support management system developed.

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Acknowledgments

This work is funded by Camões, I.P./Millennium BCP Foundation through the Programa Empresa Promotora da Língua Portuguesa and funded by: European Union through the European Regional Development Fund, included in the COMPETE 2020 (Operational Program Competitiveness and Internationalization) through the ICT project (UID/GEO/04683/2013) with the reference POCI010145FEDER007690; Portuguese Funds through the Foundation for Science and Technology-FCT under the project LAETA 2015–2020, reference UID/EMS/50022/2019; Portuguese Foundation for Science and Technology (FCT) under Project UID/EEA/04131/2013.

Author information

Authors and Affiliations

  1. Departamento de Física, ICT, Universidade de Évora, Escola de Ciências e Tecnologia, Évora, Portugal

    Isaias L. R. Gomes, Rui Melicio & Victor M. F. Mendes

  2. IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

    Isaias L. R. Gomes & Rui Melicio

  3. CISE, Electromechatronic Systems Research Centre, Universidade da Beira Interior, Covilhã, Portugal

    Victor M. F. Mendes

  4. Instituto Superior of Engenharia de Lisboa, Lisbon, Portugal

    Victor M. F. Mendes

Authors
  1. Isaias L. R. Gomes
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  2. Rui Melicio
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  3. Victor M. F. Mendes
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Corresponding author

Correspondence to Rui Melicio .

Editor information

Editors and Affiliations

  1. NOVA University of Lisbon, Monte Caparica, Portugal

    Luis M. Camarinha-Matos

  2. NOVA University of Lisbon, Monte Caparica, Portugal

    Ricardo Almeida

  3. NOVA University of Lisbon, Monte Caparica, Portugal

    José Oliveira

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Gomes, I.L.R., Melicio, R., Mendes, V.M.F. (2019). Electric Vehicles Aggregation in Market Environment: A Stochastic Grid-to-Vehicle and Vehicle-to-Grid Management. In: Camarinha-Matos, L., Almeida, R., Oliveira, J. (eds) Technological Innovation for Industry and Service Systems. DoCEIS 2019. IFIP Advances in Information and Communication Technology, vol 553. Springer, Cham. https://doi.org/10.1007/978-3-030-17771-3_30

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  • DOI: https://doi.org/10.1007/978-3-030-17771-3_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17770-6

  • Online ISBN: 978-3-030-17771-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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