An Optimal Energy Management Algorithm Considering Regenerative Braking and Renewable Energy for EV Charging in Railway Stations

被引：1

作者：

Pierrou, Georgia ^{[1
]}

Zwirner, Yannick ^{[2
]}

Hug, Gabriela ^{[1
]}

机构：

[1] ETU Zurich, Power Syst Lab, Dept Informat Technol & Elect Engn, CH-8092 Zurich, Switzerland

[2] SBB Energy, CH-3000 Bern, Switzerland

来源：

2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM | 2023年

关键词：

Terms Electric vehicles; energy management; railway systems; regenerative braking energy; renewable energy; mixed integer linear programming; PV; OPERATION;

D O I：

10.1109/PESGM52003.2023.10252610

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper proposes a novel optimal Energy Management System (EMS) algorithm for Electric Vehicle (EV) charging in smart electric railway stations with renewable generation. As opposed to previous railway EMS methods, the proposed EMS coordinates the combined Regenerative Braking Energy (RBE), renewable generation, electric railway demand and EV charging demand at the EV parking lot of the railway station. Numerical results using a scenario -based approach on an actual railway station in Chur, Switzerland demonstrate that the proposed algorithm can effectively minimize the expected daily operating cost for the train station over an entire year.

引用

页数：5

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