Optimal Operation of an Innovative Electric Vehicle Charging Hub directly fed by Renewables

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2024-01-01 DOI:10.1016/j.ifacol.2024.07.109

Alphonse Francis , Matteo Fresia , Stefano Bracco , Edoardo Barabino

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引用次数: 0

Abstract

The reduction of Green House Gases (GHGs) emissions has been the top priority of the European Union (EU) in recent times. The increase in use of Electric Vehicles (EVs) to combat climate change is viable only with the use of Renewable Energy Sources (RESs) to power them. Since the Paris Agreement in 2015, the integration of RESs into the charging infrastructure has increased in the EU. The increasing market share of EVs in various categories has called for immediate changes in the EV charging infrastructure and in the operation of charging hubs. This paper aims to present an Energy Management System (EMS) to efficiently manage an EV charging hub fed by RESs, reducing the daily costs of operation and GHG emissions. The mathematical model of the EMS is developed in Matlab as a Mixed Integer Linear Programming (MILP) model. The MILP-based EMS is applied to the real-world case of an innovative EV charging hub located in the Ligurian region of Italy and the results of the optimization are reported.

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由可再生能源直接供电的创新型电动汽车充电枢纽的优化运行

近来，减少温室气体（GHGs）排放一直是欧盟（EU）的首要任务。只有使用可再生能源（RES）为电动汽车提供动力，增加电动汽车（EV）的使用以应对气候变化才是可行的。自 2015 年《巴黎协定》签署以来，欧盟将可再生能源纳入充电基础设施的情况有所增加。各类电动汽车的市场份额不断增加，要求立即改变电动汽车充电基础设施和充电中心的运营方式。本文旨在介绍一种能源管理系统（EMS），以有效管理由可再生能源供电的电动汽车充电中心，降低日常运营成本和温室气体排放。EMS 的数学模型是在 Matlab 中开发的混合整数线性规划 (MILP) 模型。基于 MILP 的 EMS 被应用于位于意大利利古里亚大区的一个创新型电动汽车充电中心的实际案例，并报告了优化结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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