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Harmonic Analysis for Power Systems based on AD-RQEA

Volume 15, Number 6, June 2019, pp. 1702-1708
DOI: 10.23940/ijpe.19.06.p21.17021708

Rui Zhanga, Wanying Jianga, Wei Lia, Hui Gaob, and Qichao Songb

aSchool of Automation, Harbin University of Science and Technology, Harbin, 150080, China
bSchool of Electrical and Information Engineering, Heilongjiang Institute of Technology, Harbin, 150050, China

 

(Submitted on December 14, 2018; Revised on January 13, 2019; Accepted on February 16, 2019)

Abstract:

High precision harmonic analysis in electric power systems is the precondition to evaluate the power quality of power grids and to control the harmonic of power grids. The fast Fourier transform (FFT) algorithm has shortcomings such as spectrum leakage and the fence effect in harmonic analysis, resulting in lower accuracy. Thus, a power harmonic analysis method based on atomic decomposition combined with the read-coded quantum evolutionary algorithm (AD-RQEA) is proposed. The core of AD-RQEA is to construct an atom library according to the characteristics of harmonic signals and to optimize feature parameters of atoms using AD-RQEA. Finally, optimal matching atoms are adaptively chosen to reconstruct voltage signals. The comparison tests show that the proposed method has high accuracy, and the effectiveness and practicability of this method are verified.

 

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