Optimal driving strategies for emergency operation of high-speed trains using on-board energy storage systems

被引：1

作者：

Zhu, Yutong ^{[1
,2
,3
]}

Zhang, Bo ^{[3
]}

Chen, Jianan ^{[3
]}

Liu, Weizhi ^{[3
]}

机构：

[1] Chinese Acad Sci, Inst Elect Engn, Beijing, Peoples R China

[2] Univ Chinese Acad Sci, Beijing, Peoples R China

[3] China Acad Railway Sci Corp, Locomot & Car Res Inst, Beijing, Peoples R China

来源：

IET INTELLIGENT TRANSPORT SYSTEMS | 2023年 / 17卷 / 10期

基金：

中国国家自然科学基金;

关键词：

convex programming; emergency services; optimisation; railway rolling stock; OPTIMIZATION; ALGORITHM;

D O I：

10.1049/itr2.12399

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A power outage occurs when there is an interruption to traction power system. In such emergency situations, trains are expected to achieve autonomy operation powered by on-board energy storage systems (OESS). This paper presents optimization models and methods to find optimal driving strategies for train emergency operation. Specifically, a nonlinear and non-convex program is first formulated in space-domain to minimize trip time under the limits of power and energy capacity of OESS. To improve computational efficiency, the time dynamics is removed from constraints and adjoined to the cost function. Furthermore, convex modelling steps are proposed to reformulate the problem as a convex program that can be solved efficiently. A bi-level algorithm is designed to obtain optimal driving strategies that can arrive at destinations as soon as possible. Compared to energy-optimal driving strategies, the proposed methods can effectively reduce the trip time.

引用

页码：2103 / 2113

页数：11

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