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高速铁路牵引负荷谐波问题是电能质量评估的焦点,开展牵引负荷谐波建模与预测具有重要意义。通过对实测数据分析,计及负荷功率与谐波电流之间的相关性,建立了不同牵引功率区间内各次谐波电流的概率分布模型。通过引入非参数估计理论,克服了既有参数估计方法在谐波建模中的不足。提取新建铁路牵引负荷主要特征参数,构建了满足边界条件的样本集合,给出了以置信区间为约束的牵引负荷谐波预测评估算法。结合典型高速铁路算例分析,验证了上述牵引负荷谐波建模方法的有效性与预测精度,体现了较好的工程应用价值。
High-speed railway traction load harmonics is the focus of power quality assessment, to carry out traction load harmonic modeling and prediction of great significance. By analyzing the measured data and taking into account the correlation between load power and harmonic current, the probability distribution model of each harmonic current in different traction power ranges is established. The introduction of non-parametric estimation theory overcomes the shortcomings of existing parameter estimation methods in harmonic modeling. The main characteristic parameters of traction load of new railway are extracted, and a sample set satisfying the boundary conditions is constructed. The prediction and evaluation algorithm of traction load harmonics with the confidence interval is given. Combined with a typical example of high-speed railway, the validity and accuracy of the above-mentioned harmonic modeling method of traction load are verified, which shows a good engineering application value.