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A Power Harmonics Detection Approach Based on the Least Squares Energy Minimization Principle

机译:基于最小二乘能量最小化原理的电力谐波检测方法

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A new approach to power harmonic detection and a fast algorithm for computation of the total harmonic distortion (THD) are proposed based on the least squares(LS) method and the Parseval theorem. This approach is applied to detect a certain order harmonic component of stationary signals or nonstationary signals with little computational cost in comparison with other common techniques such as the Kalman filter and the FFT, thus it can track the time-varying harmonics and can be used to reconstruct the compensation reference current template real time in harmonic control systems especially in active power filters. The theoretical analysis results of the harmonics estimation error are given also. The inter-harmonics are taken into account in the THD algorithm. The THD is calculated based on the sum of harmonics energy estimated in terms of Parseval theorem and the reconstructed fundamental component by using the LS scheme, thus the tracking of time-varying THD becomes possible. Experimental results both in the ideal condition and noisy condition associated with the LS, the Kalman filters and the FFT are given also.
机译:基于最小二乘(LS)方法和ParseVal定理,提出了一种新的电力谐波检测和计算总谐波失真(THD)的快速算法。应用这种方法以检测静止信号的一定次谐波分量或非稳定信号,与其他常见技术相比,诸如卡尔曼滤波器和FFT的其他常见技术相比,因此它可以跟踪时变谐波并且可用于在谐波控制系统中重建补偿参考电流模板实时,特别是在有源电力滤波器中。还给出了谐波估计误差的理论分析结果。在THD算法中考虑了谐波间。基于通过使用LS方案的ParseVal定理和重建的基本分量估计的谐波能量和通过使用LS方案来计算THD,从而可以跟踪时变THD。还给出了与LS相关的理想条件和嘈杂条件的实验结果,也给出了卡尔曼滤波器和FFT。

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