基于GOOSE通信的城市轨道交通直流牵引供电系统双边联跳与自愈方案
张海申
Bilateral Tripping and Self-healing Scheme for Urban Rail Transit DC Traction Power Supply System Based on GOOSE Communication
ZHANG Haishen
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作者信息:中铁第四勘察设计院集团有限公司，430063，武汉
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Affiliation:China Railway Siyuan Survey and Design Group Co., Ltd., 430063, Wuhan, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.08.011
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中图分类号/CLCN:U231.8
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栏目/Col:研究报告
摘要:
［目的］城市轨道交通直流牵引供电系统的结构复杂且无备用，一旦故障将直接引发停车事故。针对传统牵引供电系统双边联跳方案在实际工程中暴露出的不足，以及直流牵引供电系统智能化程度较低的现状，需研究出利用智能化手段提高直流牵引供电系统双边联跳可靠性的方案。［方法］提出了一种基于GOOSE(面向通用对象的变电站事件)通信的直流牵引供电系统双边联跳与自愈方案。该方案在直流牵引供电系统内构建了GOOSE过程层通信网络，通过牵引变电所内及牵引变电所间各类信息的快速实时交换实现了直流牵引供电系统的双边联跳与自愈重构。对所提出的方案进行了实验室模拟与现场验证。［结果及结论］基于GOOSE通信的城市轨道交通直流牵引供电系统双边联跳与自愈方案具有更高的可靠性与实时性，且方案智能化程度较高，可进行推广应用。
Abstracts:
［Objective］ The structure of DC (direct current) traction power supply system for urban rail transit is complex and without any backup power supply. Once a malfunction occurs, it may directly lead to a train-stopping accident. In view of the shortcomings of the traditional traction power supply system bilateral tripping scheme exposed in actual projects, as well as the current low intelligence level in DC traction power supply system, it is necessary to study and propose a scheme to improve the reliability of bilateral tripping in DC traction power supply system intelligentization means.［Method］ A bilateral tripping and self-healing scheme for DC traction power supply system based on GOOSE (generic object oriented substation event) communication is proposed. The scheme constructs GOOSE process layer communication network within the DC traction power supply system, achieving bilateral tripping and self-healing reconstruction of DC traction power supply system via the rapid real-time exchange of various information within and between traction substations. Laboratory simulation and field verification are carried out regarding the proposed scheme. ［Result & Conclusion］ The bilateral tripping and self-healing scheme for DC traction power supply system based on GOOSE communication has higher reliability, better real-time performance and higher intelligence level for wide application.
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