Abstract
This article focuses on the impact of the charge of Plug-in Electric Vehicles (PEVs) on the dynamic response of power systems and proposes an efficient solution to control electric vehicle chargers, by dynamically allocating the available power in an optimized way. The proposed approach is based on an Additive-Increase-Multiplicative-Decrease (AIMD) stochastic decentralized control strategy to efficiently and seamlessly manage the charge of a high number of PEVs with little communication efforts. A modified version of the New England network is utilized to validate the proposed control through a variety of scenarios and control setups.
Highlights
Plug-in Electric Vehicles (PEVs) are characterized by high flexibility, which can be a valuable resource for the system
The literature on the impact of PEVs on system dynamics can be roughly divided into two main groups: (i) studies that exploit the flexibility of PEVs to improve system dynamics; and (ii) studies that discuss how large fleets of PEVs affect the system and possibly lead it to collapse
A centralized method is used for example in [16], where an event driven Model Predictive Control (MPC) approach is proposed for the management of PEVs charging in distribution grids
Summary
T HE PROJECTIONS of the future electricity demand indicate that Plug-in Electric Vehicles (PEVs) will play a relevant role in power systems. It has been estimated, that there will be over 1 billion electric vehicles by 2050, making electricity the first energy carrier [1], [2]. Date of publication October 28, 2020; date of current version February 26, 2021.
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