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Evaluation of Pattern Recognition Algorithms for Applications on Power Factor Compensation

  • Alexandre C. MoreiraEmail author
  • Helmo K. M. Paredes
  • Wesley A. de Souza
  • Pedro H. J. Nardelli
  • Fernando P. Marafão
  • Luiz C. P. da Silva
Article

Abstract

This paper assesses different applied pattern recognition algorithms to decide the most appropriate power factor compensator for a particular point of common coupling. Power factor, current unbalance factor, total demand distortion, voltage harmonic distortion and reactive power daily variation, as well as human expertise, are the key parameters used to set each recognition algorithm. These algorithms are then trained with a series of both simulation and experimental data. Numerical results consistently indicate the decision-tree algorithm with depth 20 as the best classifier for power factor improvement in terms of all metrics considered in this work.

Keywords

Active compensators Passive compensators Pattern recognition Power factor Reactive and harmonic compensation 

Notes

Acknowledgements

The authors gratefully acknowledge the contributions of São Paulo Research Foundation (FAPESP) under Grant 2016/08645-9 and by Finnish Academy and CNPq/Brazil (n.490235/2012-3) as part of the joint project SUSTAIN, by Strategic Research Council/Aka BC-DC project (n.292854) for their financial support toward the development of this research.

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Copyright information

© Brazilian Society for Automatics--SBA 2017

Authors and Affiliations

  1. 1.Telecommunications and Mechatronic Engineering Department (DETEM)Federal University of São João del-Rei (UFSJ)Ouro BrancoBrazil
  2. 2.Institute of Science and TechnologySão Paulo State University (Unesp)SorocabaBrazil
  3. 3.Department of Energy and Systems (DSE), School of Electrical and Computer Engineering (FEEC)University of Campinas (UNICAMP)CampinasBrazil
  4. 4.Centre for Wireless Communications (CWC)University of OuluOuluFinland

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