Probabilistic load flow for urban rail traction power supply based on Monte Carlo simulation

被引：0
|
作者：
Liu W. [1 ]
Li Q. [1 ]
Tang B. [2 ]
Chen M. [1 ]
机构：
[1] School of Electrical Engineering, Southwest Jiaotong University
[2] Emei Campus, Southwest Jiaotong University
来源：
Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University | 2010年 / 45卷 / 04期
关键词：
Monte Carlo simulation; Power calculation; Probabilistic load flow; Urban rail transit;
D O I：
10.3969/j.issn.0258-2724.2010.04.013
中图分类号：
学科分类号：
摘要：
In order to research the uncertainty of urban rail traction load flow distribution, a Monte Carlo simulation method for the calculation of probabilistic load flow (PLF) was presented based on the unified AC/DC power flow algorithm. This method constitutes the probability distribution of train position from the position-time graph of train running. The probability distribution of departing time interval is obtained in light of the organization of train operation. With the Monte Carlo simulation, the positions and corresponding powers of trains can be achieved by random sampling. By unified calculation of AC/DC power flow, the probability distribution functions of node voltage and power can be attained. The examples shows that probabilistic statistical characteristics of traction network voltage and traction load of substation can be achieved with this method.
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收藏
页码：561 / 567
页数：6
相关论文
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