期刊
SUSTAINABLE ENERGY GRIDS & NETWORKS
卷 28, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.segan.2021.100550
关键词
Electric vehicles; Charging strategy optimization; Aggregator; Residential load profile
This paper proposes two procedures for optimizing electric vehicle charging strategies, aiming at load profile levelling and total cost minimization, taking into account the realistic diffusion of photovoltaic systems and electric vehicles. The best compromise between the two objectives is evaluated by determining techno-economic merit indicators.
The development of intelligent strategies to manage electric vehicle charging process is the key for fostering a proper diffusion of electric vehicles at customer premises. The presence of renewable generation and the exploitation of vehicle-to-grid can enhance this process. In this paper, two procedures are proposed for optimizing electric vehicle charging strategies, for an aggregation of consumers, with the objectives of load profile levelling and total cost minimization, in the presence of possible realistic diffusion of photovoltaic systems and electric vehicles. Moreover, the best compromise between the two objectives is evaluated by determining techno-economic merit indicators. The procedures are applied to a realistic case study in the UK, considering an aggregator managing a group of residential customers in a low-voltage distribution network, where multiple tariff schemes are assessed. (C) 2021 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据