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An Improved Adaptive Harmonic Detection Algorithm

机译:改进的自适应谐波检测算法

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Active power filter (APF) can effectively suppress harmonic current, and harmonic detection is an important part which can directly influence the effect of APF. Based on the traditional adaptive noise cancellation theory (ANCT) harmonic detection method, this paper proposes an improved variable step size adaptive harmonic detection algorithm. This algorithm uses sliding integrator to find the tracking error which can truly reflect the tracking situation, and brings it into the updated formula which is based on the L2 norm to adjust step. The L2 norm refers to the 1/2 power of the sum of squares of the vector elements. In this way, with the improvement of convergence speed and steady-state accuracy, it will have better practicability. Simulation results show that this algorithm can detect harmonic current quickly and accurately. And applying this algorithm to APF can make the effect of harmonic compensation better and enhance the power quality.
机译:有源电力滤波器(APF)可以有效地抑制谐波电流,谐波检测是可以直接影响APF效果的重要部分。基于传统的自适应噪声消除理论(ANCT)谐波检测方法,本文提出了一种改进的可变步长自适应谐波检测算法。该算法使用滑动积分器找到可以真正反映跟踪情况的跟踪错误,并将其带入基于L2标准的更新公式以调整步骤。 L2规范是指矢量元素的平方和的1/2功率。通过这种方式,随着收敛速度和稳态精度的提高,它将具有更好的实用性。仿真结果表明,该算法可以快速准确地检测谐波电流。并将该算法应用于APF可以使谐波补偿的效果更好,提高功率质量。

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