TAO Yan. Study on self-adaptive real-time dynamic modeling approach of metro traction power supply system. [J]. Electric drive for locomotives (6):122-129(2022)
DOI:
TAO Yan. Study on self-adaptive real-time dynamic modeling approach of metro traction power supply system. [J]. Electric drive for locomotives (6):122-129(2022) DOI: 10.13890/j.issn.1000-128X.2022.04.104.
Study on self-adaptive real-time dynamic modeling approach of metro traction power supply system
The varying number and location of traction substations along urban rail transit system lines
the time-varying characteristics of the DC traction power supply system network structure caused by continuous operation of trains
the DC traction network connectivity along the whole lines
are the critical technical bottlenecks in the mathematical modeling for the DC traction power supply system. Based on node-admittance network equation theory
a self-adaptive real-time dynamic mathematical modeling approach of the DC traction power supply system for the urban rail transit system was put forward. Firstly
the nodes which include both ends of all traction substations along the whole line and trains were sequenced automatically at any train operation moment
according to the given rules
such nodes were then sequenced according to position coordinates and stored in the node array
and the node-admittance network equation of the DC traction power supply system was generated according to the node array and input parameter files in a self-adaptive
real-time and dynamic pattern
and then solved. The scientificity and correctness of the proposed approach was verified through simulation and experimental study.
关键词
城市轨道交通牵引供电数学建模时变电网络节点导纳网络方程自适应
Keywords
urban rail transittraction power supplymathematical modelingtime-varying networknode-admittance network equationself-adaptive
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