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

Abstract

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. • Proposing a new framework for energy management of electric vehicles (EVs) based on energy hub platforms. • Modeling different requirements of EVs’ owners, energy hub operator and energy system operator using a multi-criteria optimization algorithm. • Developing different programs for motivating EVs’ owners in adopting charging control mechanisms. • Proposing an iterative algorithm for optimizing charging profiles of EVs considering main features of the energy resources.