Cost minimization control for electric vehicle car parks with vehicle-to-grid technology

Su, Xiaoke and Yue, Hong and Chen, Xu (2020) Cost minimization control for electric vehicle car parks with vehicle-to-grid technology. Systems Science and Control Engineering, 8 (1). pp. 422-433. ISSN 2164-2583 (https://doi.org/10.1080/21642583.2020.1789898)

[thumbnail of Su-etal-SSCE-2019-Cost-minimization-control-for-electric-vehicle-car-parks]
Preview
 Text. Filename: Su_etal_SSCE_2019_Cost_minimization_control_for_electric_vehicle_car_parks.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (1MB)| Preview

Abstract

With coordinated charging and discharging, electric vehicles (EVs) in smart car parks can be used as energy storage systems and a reserve against unexpected outrage. In this work, a modeling and control framework for EVs in a smart car park has been built up, which includes key factors such as the charging and discharging costs, the battery degradation cost, the driving probability, the feed-in tariff (FIT), and the vehicle-to-grid (V2G) rebates. Each EVs’ charging and discharging activities are scheduled through an optimization route with the purpose to minimize the car park electricity cost. Results from comprehensive simulation studies demonstrate the potential benefits of V2G for car park systems with multiple EVs subject to vehicle and battery characteristics, FIT and policy support.

ORCID iDs

Su, Xiaoke ORCID logoORCID: https://orcid.org/0000-0003-0255-2469, Yue, Hong ORCID logoORCID: https://orcid.org/0000-0003-2072-6223 and Chen, Xu;
CORE (COnnecting REpositories)