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Energy management of Plug-In Hybrid Electric Vehicles in renewable-based energy hubs

Moeini Aghtaie, M ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.segan.2022.100932
  3. Publisher: Elsevier Ltd , 2022
  4. Abstract:
  5. Proliferation of Plug-in Hybrid Electric Vehicles (PHEVs) and integration of various distributed generation (DG) technologies have been recognized to play an undeniable role in modern power systems of the future. In order to effectively model the interactions of these two technologies, this paper develops a multi-criteria framework to coordinate the charging behaviors of PHEVs within an energy hub platform. In this regard, the desirable charging profiles from the viewpoint of both PHEV owners and hub manager are first captured and reported to the PHEVs Coordinator Entity (PCE). The PCE, then, runs an optimization framework in which several criteria including the PHEV owners’ convenience, energy hub's profit, and the technical performance of the distribution grid are all taken into account as a multi-criteria optimization framework resulting in the PHEVs’ optimal charging patterns. The proposed strategy is applied to the modified IEEE 34-node test system and the results demonstrate the applicability and efficiency of the proposed framework. © 2022 Elsevier Ltd
  6. Keywords:
  7. Charging control ; Energy hub ; Incentive program ; Multi-criteria ; Plug-in hybrid electric vehicle (PHEV) ; Charging (batteries) ; Multiobjective optimization ; Distributed generation technologies ; Energy hubs ; Incentive programs ; Multi-Criterion ; Optimization framework ; Plug-In Hybrid Electric Vehicle ; Power ; Plug-in hybrid vehicles
  8. Source: Sustainable Energy, Grids and Networks ; Volume 32 , 2022 ; 23524677 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S2352467722001771