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Evaluation of Pattern Recognition Algorithms for Applications on Power Factor Compensation

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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.

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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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Authors and Affiliations

  1. Telecommunications and Mechatronic Engineering Department (DETEM), Federal University of São João del-Rei (UFSJ), Rodovia MG 443, KM 7, Ouro Branco, MG, 36420-000, Brazil

    Alexandre C. Moreira

  2. Institute of Science and Technology, São Paulo State University (Unesp), Av. Três de Março, 511, Sorocaba, SP, 18087-180, Brazil

    Helmo K. M. Paredes & Fernando P. Marafão

  3. Department of Energy and Systems (DSE), School of Electrical and Computer Engineering (FEEC), University of Campinas (UNICAMP), Av. Albert Einstein, 400, Campinas, SP, 13083-970, Brazil

    Wesley A. de Souza & Luiz C. P. da Silva

  4. Centre for Wireless Communications (CWC), University of Oulu, Erkki Koiso-Kanttilan katu 3, 90570, Oulu, Finland

    Pedro H. J. Nardelli

Authors
  1. Alexandre C. Moreira
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  2. Helmo K. M. Paredes
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  3. Wesley A. de Souza
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  4. Pedro H. J. Nardelli
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  5. Fernando P. Marafão
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  6. Luiz C. P. da Silva
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Correspondence to Alexandre C. Moreira.

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Moreira, A.C., Paredes, H.K.M., de Souza, W.A. et al. Evaluation of Pattern Recognition Algorithms for Applications on Power Factor Compensation. J Control Autom Electr Syst 29, 75–90 (2018). https://doi.org/10.1007/s40313-017-0352-9

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  • DOI: https://doi.org/10.1007/s40313-017-0352-9

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