非线性负载Norton等效模型的改进分析方法
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电子科技大学电子科学技术研究院成都611731

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TM711

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Analysis on the improved method of nonlinear load Norton equivalent model
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Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China

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    摘要:

    建立高精度、计算简单的等效模型,对电力系统中非线性负载谐波情况进行准确分析,一直是国内外研究人员的关注重点。而Norton等效电路模型具有表达式及参数简单易于计算的优点,使其在非线性负载等效模型分析中广泛应用。但现有Norton等效模型没有考虑非线性负载谐波电流与谐波电压间的相互影响,分析结果存在较大误差。因此,为了提高Norton等效模型的精度,需要对其进行适当的改进。在传统Norton等效模型的基础上,对非线性负载存在影响的谐波进行分类,将得到的附加电流谐波分别用受控源表示,提出含有受控源的Norton改进等效模型。最后通过采用两种模型对电力系统非线性负载实测电压和电流计算对比,发现在不同的电压条件下,传统Norton模型等效阻抗计算结果差异达到2个数量级,而含有受控源的改进Norton等效电路模型计算得到的等效阻抗大小变化不大,基本可以近似相等。可见,相较于传统不含受控源的Norton等效模型,提出的含有受控源的Norton等效模型的精度与稳定性显著提升。

    Abstract:

    It hasattractedattention of the researchers worldwide to establish an equivalent model with high accuracy and simple calculation, which will be used to analysis harmonic of nonlinear load in power system. Norton model is widely used in nonlinear load analysis because it is simple to calculate. However, the interaction between harmonic current and voltage is not considered by the traditional Norton model, which has a large error in the analysis results. Therefore, it is necessary to change its structure in order to improve the accuracy of Norton model.In this paper, the harmonics which has the effects on nonlinear loads are classified, the additional current harmonics are represented by different controlled sources. Then, a modified Norton model is proposed based on the traditional Norton model. Finally, by using the two models under different voltages, the results show that there are 2 orders of magnitude difference in the equivalent impedance value of the traditional Norton model, butthe results of modified Norton model have little change and can be approximately equal. Obviously, the modified Norton model proposed in this paper has higher accuracy and stabilitycompared with the traditional Norton model.

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南琳,尉伍.非线性负载Norton等效模型的改进分析方法[J].电子测量与仪器学报,2017,31(8):1336-1341

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  • 在线发布日期: 2017-09-16
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