%0 Conference Proceedings
%T Electric Vehicles Aggregation in Market Environment: A Stochastic Grid-to-Vehicle and Vehicle-to-Grid Management
%+ Escola de Ciências e Tecnologia [Évora] (ECT)
%+ Instituto de Engenharia Mecânica [Lisboa] (IDMEC)
%+ University of Beira Interior [Portugal] (UBI)
%+ Instituto Superior of Engenharia de Lisboa (IESL)
%A Gomes, Isaias
%A Melicio, Rui
%A Mendes, Victor
%Z Part 10: Energy Markets
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 10th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)
%C Costa de Caparica, Portugal
%Y Luis M. Camarinha-Matos
%Y Ricardo Almeida
%Y José Oliveira
%I Springer International Publishing
%3 Technological Innovation for Industry and Service Systems
%V AICT-553
%P 343-352
%8 2019-05-08
%D 2019
%R 10.1007/978-3-030-17771-3_30
%K Electric vehicles aggregator
%K Day-ahead market
%K Scenario generation
%K Scenario reduction
%K Stochastic programming
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 5
%Z WG 5.5
%2 https://inria.hal.science/hal-02295243/document
%2 https://inria.hal.science/hal-02295243/file/483289_1_En_30_Chapter.pdf
%L hal-02295243
%U https://inria.hal.science/hal-02295243
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-WG5-5
%~ IFIP-DOCEIS
%~ IFIP-AICT-553