Traction Power Substation Load Analysis with Various Train Operating Styles and Substation Fault Modes
Zhongbei Tian,
Ning Zhao,
Stuart Hillmansen,
Shuai Su and
Chenglin Wen
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Zhongbei Tian: Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, UK
Ning Zhao: Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, UK
Stuart Hillmansen: Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, UK
Shuai Su: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
Chenglin Wen: School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Energies, 2020, vol. 13, issue 11, 1-18
Abstract:
The simulation of railway systems plays a key role in designing the traction power supply network, managing the train operation, and making changes to timetables. Various simulation technologies have been developed to study the railway traction power network and train operation independently. However, the interactions between the load performance, train operation, and fault conditions are not fully understood. This paper proposes a mathematical modeling method to simulate the railway traction power network with a consideration of a multi-train operation, driving controls, under-voltage traction, and substation fault modes. The network voltage, power load demands, and energy consumption according to the existing operation are studied. The hotspots of the power supply network are identified based on an evaluation of the train operation and power demand. The impact of traction power substation (TPSS) outage and a short circuit on the power supply network have been simulated and analyzed. The simulation results have been analyzed and compared with those of a normal operation. A case study based on a practical metro line in Singapore is developed to illustrate the power network evaluation performance.
Keywords: railway; traction power systems; energy consumption; load demand; fault analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
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