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An Improved Adaptive Harmonic Detection Algorithm

Authors: Zhijun Li; Yanan Wang; Baihui Cui;

An Improved Adaptive Harmonic Detection Algorithm

Abstract

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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