Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Development of a Novel Methodology for DC Railway Power Network Analysis Based on Participation Factor

Authors
Shin, Byoung-YoonJang, GilsooShin, Seung-KwonJoo, Sung-KwanLee, Hansang
Issue Date
Jan-2017
Publisher
KOREAN INST ELECTR ENG
Keywords
DC electric railway system; Powerflow calculation; Participation factor
Citation
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.12, no.1, pp.478 - 485
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
Volume
12
Number
1
Start Page
478
End Page
485
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/85140
DOI
10.5370/JEET.2017.12.1.478
ISSN
1975-0102
Abstract
Urban DC railways have played an important role in urban transportation, and railway operation and energy management have been emphasized to be important to achieve maximum efficiency from existing infrastructure. Fast, accurate DC railway power flow analysis is required to operate a DC railway efficiently, and this paper proposes a novel methodology to analyze the DC railway power network by implementing the participation factor (PF). The PF concept consists of a correlation between the vehicle and the substation, as explained using zones based on the position of the vehicles running on the route. Then, the DC railway powerflow is calculated using the PF concept. Finally, the usability of the proposed method was validated via case studies with actual railway operation data, and we discuss some of the advantages of the suggested methodology.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jang, Gil soo photo

Jang, Gil soo
College of Engineering (School of Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE