一种改进的自适应谐波检测算法

Zhijun Li, Yanan Wang, B. Cui
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引用次数: 7

摘要

有源电力滤波器(APF)能有效抑制谐波电流,而谐波检测是直接影响有源电力滤波器效果的重要环节。在传统的自适应噪声抵消理论(ANCT)谐波检测方法的基础上,提出了一种改进的变步长自适应谐波检测算法。该算法利用滑动积分器寻找能够真实反映跟踪情况的跟踪误差,并将其纳入基于L2范数的更新公式中进行步长调整。L2范数指的是向量元素平方和的1/2次方。这样,随着收敛速度和稳态精度的提高,将具有更好的实用性。仿真结果表明,该算法能够快速、准确地检测出谐波电流。将该算法应用于有源滤波器,可以使谐波补偿效果更好,提高电能质量。
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An Improved Adaptive Harmonic Detection Algorithm
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.
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