A Novel Power Flow Algorithm for Traction Power Supply Systems Based on the Thévenin Equivalent
Junqi Zhang,
Mingli Wu and
Qiujiang Liu
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Junqi Zhang: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Mingli Wu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Energies, 2018, vol. 11, issue 1, 1-17
Abstract:
With the rapid development of high-speed and heavy-haul railways throughout China, modern large power locomotives and electric multiple units (EMUs) have been applied in main railway lines. The high power requirements have brought about the problem of insufficient power supply capacity (PSC) of traction power supply systems (TPSSs). Thus, a convenient method of PSC assessment is meaningful and urgently needed. In this paper, a novel algorithm is proposed based on the Thévenin equivalent in order to calculate the PSC. In this algorithm, node voltage equations are converted into port characteristic equations, and the Newton-Raphson method is exploited to solve them. Based on this algorithm, the PSC of a typical high-speed railway is calculated through the repeated power flow (RPF). Subsequently, the effects of an optimized organization of train operations are analyzed. Compared to conventional algorithms, the proposed one has the advantages of fast convergence and an easy approach to multiple solutions and PV curves, which show vivid and visual information to TPSS designers and operators. A numerical analysis and case studies validate the effectiveness and feasibility of the proposed method, which can help to optimize the organization of train operations and design lines and enhance the reliability and safety of TPSSs.
Keywords: electric railway; power flow; power supply capacity (PSC); Thévenin equivalent; repeated power flow (RPF); traction power supply system (TPSS) (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: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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