An optimal day-ahead operation planning procedure for Microgrids (MGs) integrating Electric Vehicles (EVs) in vehicle-to-grid (V2G) configuration is described in this work. It aims to determine the day-ahead operation plan by solving a non-linear optimization procedure involving daily cost and subject to dynamic operating constraints. The day-ahead operation plan aims to minimize MG operation daily costs, according to suitable load demand and source availability forecast, in the presence of an EV aggregator. In order to account for possible economic relationships between the EV aggregator and the MG operator, two different objective functions are considered. In order to investigate the influence of EV aggregator role on MG optimal operation management in different frameworks, the proposed approach is applied to a test MG taking into account residential or commercial customers’ load and EV exploitation profiles.
Optimal operation planning of V2G-equipped Microgrid in the presence of EV aggregator / Aluisio, Benedetto; Conserva, A.; Dicorato, Maria; Forte, Giuseppe; Trovato, Michele Antonio. - In: ELECTRIC POWER SYSTEMS RESEARCH. - ISSN 0378-7796. - 152:(2017), pp. 295-305. [10.1016/j.epsr.2017.07.015]
Optimal operation planning of V2G-equipped Microgrid in the presence of EV aggregator
Aluisio, Benedetto;Dicorato, Maria;Forte, Giuseppe
;Trovato, Michele Antonio
2017-01-01
Abstract
An optimal day-ahead operation planning procedure for Microgrids (MGs) integrating Electric Vehicles (EVs) in vehicle-to-grid (V2G) configuration is described in this work. It aims to determine the day-ahead operation plan by solving a non-linear optimization procedure involving daily cost and subject to dynamic operating constraints. The day-ahead operation plan aims to minimize MG operation daily costs, according to suitable load demand and source availability forecast, in the presence of an EV aggregator. In order to account for possible economic relationships between the EV aggregator and the MG operator, two different objective functions are considered. In order to investigate the influence of EV aggregator role on MG optimal operation management in different frameworks, the proposed approach is applied to a test MG taking into account residential or commercial customers’ load and EV exploitation profiles.File | Dimensione | Formato | |
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