电网技术2017，Vol.41Issue(8)：2598-2603,6.DOI:10.13335/j.1000-3673.pst.2016.2677
高速铁路牵引负荷谐波分布的非参数估计模型与预测评估
Harmonic Distribution Modeling Based on Non-Parametric Estimation and Harmonic Prediction Evaluation for High Speed Railway Traction Load
摘要
Abstract
High speed railway traction load harmonic problem is the focus for the power quality assessment, which means the traction load harmonic modeling and forecasting are essential for engineering application. In this paper, based on a large number of measured data of traction load, considering correlation between traction load and harmonic current generated, harmonic probability distribution is studied in different traction power sections. The non-parametric kernel density estimation is used in harmonic modeling, which can overcome the disadvantages of the existing parameter estimation methods. By extracting traction load characteristic parameters as boundary conditions, and the measured data are added to sample set, a harmonic prediction method based on confidence interval is proposed for power quality evaluation of new railway. Based on case studies, validity of the harmonic modeling and forecasting methods presented are verified, which illustrates better engineering application performance.关键词
高速铁路/牵引供电系统/谐波建模/谐波预测/工程设计Key words
high speed railway/traction power supply system/harmonic modeling/harmonic prediction/engineering design分类
信息技术与安全科学引用本文复制引用
陈民武,刘洋,韩旭东,周应东,张丽艳..高速铁路牵引负荷谐波分布的非参数估计模型与预测评估[J].电网技术,2017,41(8):2598-2603,6.基金项目
国家自然科学基金项目(51307143) （51307143）
中央高校科技创新项目(2682015CX033).Project Supported by National Natural Science Foundation of China (51307143). （2682015CX033）
