Wavelets and Entropy for Power Quality Assessment - American Journal of Computational Mathematics

AJCM > Vol.7 No.3, September 2017

American Journal of Computational Mathematics

Volume 7, Issue 3 (September 2017)

ISSN Print: 2161-1203 ISSN Online: 2161-1211

Google-based Impact Factor: 1.05 Citations

Wavelets and Entropy for Power Quality Assessment ()

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Download as PDF (Size: 724KB) PP. 276-290

DOI: 10.4236/ajcm.2017.73022 916 Downloads 1,662 Views Citations

Author(s)

Eduardo Antonio Cano-Plata, Armando J. Ustariz-Farfán, Jorge H. Estrada-Estrada

Affiliation(s)

Department of Electrical, Electronic and Computer Engineering, Universidad Nacional de Colombia, Manizales, Colombia.

ABSTRACT

In this paper, wavelet transform and entropy are evaluated using the mathematical analysis concepts of reflexibility, regularity and series obtention, these concepts remark the reason to make a selective reference framework for power quality applications. With this idea the paper used the same treatment for the two algorithms (Multiresolution and Multiscale Entropy). The wavelet is denoted to have the most power full consistence to the light off the reflexibility, regularity and series obtention. The paper proposes a power quality technique namely M_pqAT.

KEYWORDS

Wavelets, Entropy, Reflexibility, Regularity, Multiresolution, Multiscale

Share and Cite:

Cano-Plata, E. , Ustariz-Farfán, A. and Estrada-Estrada, J. (2017) Wavelets and Entropy for Power Quality Assessment. American Journal of Computational Mathematics, 7, 276-290. doi: 10.4236/ajcm.2017.73022.

Cited by

[1]	A novel microgrid power quality assessment model based on multivariate Gaussian distribution and local sensitivity analysis
	IET Power Electronics, 2023

[2]	Comprehensive power quality evaluation method of microgrid with dynamic weighting based on CRITIC
	2021

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