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Harmonic Contribution Evaluation of Multiple Harmonic Sources Based on Data Selection Method Considering Regression Coefficient Fluctuation

机译:基于回归系数波动的数据选择方法的多种谐波源谐波贡献评估

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Due to the access of a large number of distributed energy sources and power electronic equipment, the power quality problems caused by harmonics have attracted widespread attention. Under the premise of grasping power quality monitoring data, it is urgent to determine the source of harmonics, in order to take targeted measures at the source and improve the power quality problems that occur in the system. This paper proposes a method to determine the harmonic contribution of each harmonic source in a multi-harmonic source system based on data selection method considering regression coefficient fluctuation. Firstly, an index factor for evaluating the harmonic contribution based on partial least squares of each harmonic source is established. Then the data selection method based on coefficient fluctuations in the regression model is used to select valid data segments. Finally, by analyzing the harmonic voltage and harmonic current data, the quantitative magnitude of the harmonic responsibility of each harmonic source is determined. The proposed method is convenient in calculation and strong in engineering practice. Simulation analysis and actual case verifies the effectiveness of the proposed method.
机译:由于使用了大量的分布式能源和电力电子设备,由谐波引起的电能质量问题已引起广泛关注。在掌握电能质量监测数据的前提下,迫切需要确定谐波的来源,以便有针对性地采取措施,改善系统中出现的电能质量问题。提出了一种基于回归系数波动的数据选择方法,确定多谐波源系统中各谐波源的谐波贡献的方法。首先,建立了基于每个谐波源的偏最小二乘来评估谐波贡献的指标因子。然后,使用基于回归模型中系数波动的数据选择方法来选择有效的数据段。最后,通过分析谐波电压和谐波电流数据,确定每个谐波源的谐波责任的定量幅度。该方法计算方便,工程实践性强。仿真分析和实际案例验证了所提方法的有效性。

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