Optimal capacitor placement in distribution systems considering demand´s uncertainty


Authors

  • Humberto Enrique Amador Soto Universidad de Boyacá
  • Ricardo Alberto Hincapié Isaza Universidad Tecnológica de Pereira
  • Ramón Alfonso Gallego Rendón Universidad Tecnológica de Pereira

DOI:

https://doi.org/10.22517/23447214.9187

Keywords:

flujo de carga probabilístico, método de la cadena, simulación de Montecarlo, sistemas de distribución, ubicación de condensadores.

Abstract

This paper presents a methodology for optimal location of capacitors in medium voltage distribution systems, considering uncertainty in demand. This uncertainty is simulated using a probabilistic load flow, which was implemented based on the chain’s method, used to solve the operational problem in the Montecarlo simulation. As a method of optimizing a modified version of genetic algorithm, called Chu Beasley, is used. In order to enhance the optimization method, sensitivity factors that establish a relationship between reactive power and system losses are used. To verify the validity of the methodology, a test system from the literature is used, which concluded that the stochastic load flow determines a mean value of demand, with similar results to those obtained with versions that use deterministic power flow.

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Author Biographies

Humberto Enrique Amador Soto, Universidad de Boyacá

Facultad de Ciencias e Ingeniería.

Director del Programa de Ingeniería Mecatrónica.

 

Ricardo Alberto Hincapié Isaza, Universidad Tecnológica de Pereira

Facultad de Ingenierías.

Docente del Programa de Ingeniería Eléctrica.

Grupo de Planeamiento de Sistemas Eléctricos.

Ramón Alfonso Gallego Rendón, Universidad Tecnológica de Pereira

Facultad de Ingenierías.

Docente del Programa de Ingeniería Eléctrica.

Grupo de Planeamiento de Sistemas Eléctricos.

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Published

2015-12-30

How to Cite

Amador Soto, H. E., Hincapié Isaza, R. A., & Gallego Rendón, R. A. (2015). Optimal capacitor placement in distribution systems considering demand´s uncertainty. Scientia Et Technica, 20(4), 308–316. https://doi.org/10.22517/23447214.9187

Issue

Vol. 20 No. 4 (2015)

Section

Eléctrica

License

Copyrights

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