Optimal Power Flow for radial and mesh grids using semidefinite programming

  • Oscar D. Montoya-Giraldo Universidad Tecnológica de Pereira
  • Walter J. Gil-González Universidad Tecnológica de Pereira
  • Alejandro Garcés-Ruíz Universidad Tecnológica de Pereira
Keywords: Convex approximation, power flow, optimal power flow, semidefinite programming, radial grids, mesh grids

Abstract

This paper presents a convex formulation for optimal power flow (OPF) in both radial and meshed grids. A semidefinite programming (SDP) approximation transforms the quadratic non-convex model into a relaxed convex quadratic model, which can be more efficiently solved. This model is implemented in MATLAB using the CVX package for convex optimization. The results obtained are compared to the non-linear model of the problem implemented in GAMS and MATPOWER by using four typical systems in specialized literature (two radial and two meshed). SDP approximation demonstrated to provide accurate solutions that are close to an optimal solution of the problem in shorter computational times. Such solutions are applicable to real-time operation and control problems.

Author Biographies

Oscar D. Montoya-Giraldo, Universidad Tecnológica de Pereira

MSc en Ingeniería Eléctrica, Facultad de Ingenierías Eléctrica, Electrónica, Física y de Sistemas y Computación, Universidad Tecnológica de Pereira, Pereira -Colombia.

Walter J. Gil-González, Universidad Tecnológica de Pereira

MSc en Ingeniería Eléctrica, Facultad de Ingenierías Eléctrica, Electrónica, Física y de Sistemas y Computación, Universidad Tecnológica de Pereira, Pereira -Colombia

Alejandro Garcés-Ruíz, Universidad Tecnológica de Pereira

PhD en Ingeniería Eléctrica, Facultad de Ingenierías Eléctrica, Electrónica, Física y de Sistemas y Computación, Universidad Tecnológica de Pereira, Pereira-Colombia.

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How to Cite
[1]
O. D. Montoya-Giraldo, W. J. Gil-González, and A. Garcés-Ruíz, “Optimal Power Flow for radial and mesh grids using semidefinite programming”, TecnoL., vol. 20, no. 40, pp. 29–42, Sep. 2017.

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Published
2017-09-04
Section
Research Papers

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