Minimization of electrical losses in industrial systems using genetic algorithm

Authors

  • Zocimo Ñauapari Huatuco Faculty of Electrical and Electronic Engineering, National University of Engineering. Lima Peru.
  • Alex Coronel Faculty of Electrical and Electronic Engineering, National University of Engineering. Lima Peru.
  • Yuri Percy Molina Rodríguez Federal University of Paraíba. Paraíba, Brazil
  • Luiz Renato Braz Pontes Federal University of Paraíba. Paraíba, Brazil

DOI:

https://doi.org/10.21754/tecnia.v28i2.555

Keywords:

Genetic Algorithm, Capacitors, Electrical Loose, Industrial Electric Systems

Abstract

This paper proposes a procedure to minimize electrical losses present in industrial systems, through a specific program developed for this purpose, based on Genetic Algorithm, and written using MATLAB instructions.The minimization is realized with the placement of shunt capacitors connected to the buses. For validation of the proposed method, it is considered accuracy and speed, and the developed program´s results are compared with the results produced by traditional programs. The program avoids leading power factor at the bus connected with the power distribution company and the user may determine buses where he does not want the installation of capacitors. The Genetic Algorithm's fitness, responsible for guiding the optimization process, is the active power loss. Finally,  the program is applied to minimize active losses present at an industrial system, 38 buses.

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References

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[13] Michalewicz, Genetic Algorithms + Data Structures Evolution Programs, Charlotte, 1996.

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Published

2018-12-17

How to Cite

[1]
Z. Ñauapari Huatuco, A. Coronel, Y. Percy Molina Rodríguez, and L. R. Braz Pontes, “Minimization of electrical losses in industrial systems using genetic algorithm”, TEC, vol. 28, no. 2, Dec. 2018.

Issue

Vol. 28 No. 2 (2018)

Section

Renewable energy, electrical engineering and / or power systems

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Copyright (c) 2018 TECNIA

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