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A Computationally Efficient Harmonic Extraction Algorithm for Grid Applications
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DOI：10.1109/TPWRD.2021.3054554.png)
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Abstract
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The ability of an algorithm to extract power quality parameters on a low-end digital controller with constrained resources and computational capacity can promote comprehensive adoption of power quality control and monitoring infrastructure because of reduced cost and thus improve operational ability in a microgrid or distribution grid and support more in-depth integration of renewable energy. Since conventional harmonic extraction for single-phase grid mostly operate on Fourier transform, lock-in amplifier and their derivative algorithms, they demand large memory and computational power which are available with high-end application-specific processors, digital signal processors (DSPs) and field programmable gate arrays (FPGAs). In this paper, a computationally efficient harmonic extraction algorithm is proposed, which can be implemented on commercially available microcontrollers with ease, without compromising accuracy. A detailed theoretical analysis of the proposed method, along with various simulation and the experimental results are presented. Workarounds for minor implementation issues on digital controllers are discussed as well.
Keywords:
Harmonic analysis
Power harmonic filters
Phase locked loops
Data mining
Signal processing algorithms
Cutoff frequency
Power quality
Harmonic analysis
FFT
locked amplifiers
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