Revista UIS Ingenierías

Vol. 21 No. 4 (2022): Revista UIS Ingenierías
Articles

Optimal integration of solar photovoltaic generation in distribution networks to minimize the total annual operating costs by applying the Black Widow algorithm

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  • Camilo Andrés Rojas-Torres,
  • Ivan Camilo Tovar-Cifuentes ,
  • Oscar Danilo Montoya Giraldo,
  • Brandon Cortés-Caicedo
Camilo Andrés Rojas-Torres
Universidad Distrital Francisco José de Caldas
Ivan Camilo Tovar-Cifuentes
Universidad Distrital Franscisco José de Caldas
Oscar Danilo Montoya Giraldo
Universidad Distrital Francisco José de Caldas
Brandon Cortés-Caicedo
Instituto Tecnológico Metropolitano
3D
DOI: https://doi.org/10.18273/revuin.v21n4-2022007

Published 2022-11-17

Keywords

  • Black widow optimization algorithm,
  • Solar renewable energy,
  • dispersed generation,
  • annual operative costs minimization,
  • distribution energy systems,
  • discrete-continuous coding,
  • masterslave strategy,
  • power flow,
  • successive approximations method,
  • combinatorial optimization,
  • net present value
    • ...More
    Less

How to Cite

Rojas-Torres, C. A., Tovar-Cifuentes , I. C., Montoya Giraldo, O. D., & Cortés-Caicedo, B. (2022). Optimal integration of solar photovoltaic generation in distribution networks to minimize the total annual operating costs by applying the Black Widow algorithm. Revista UIS Ingenierías, 21(4), 71–86. https://doi.org/10.18273/revuin.v21n4-2022007

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Abstract

The problem of the optimal location and sizing of photovoltaic (PV) sources in electrical distribution systems is addressed in this article through the application of the black widow optimization algorithm (BWOA). This problem is of mixed-integer nonlinear nature and is addressed by a master-slave type optimization strategy. In the master stage, the BWOA defines the location and size of the PV generators through discrete-continuous coding, and with this information, the slave stage (power flow for distribution) determines the electrical variables of the system, with which is evaluated the objective function and the constraints of the problem. As an objective function, the minimization of the annual costs of operation and maintenance of the system is considered, added to the total costs of purchasing energy in the electrical network for a planning period of 20 years. The numerical results in the IEEE 34- and IEEE 85-node systems show that with the proposed optimization methodology it is possible to reduce around 27% of the annual operating costs in both systems with the optimal location of three photovoltaic sources. Comparisons with metaheuristics and exact methodologies reported in the specialized literature confirm the efficiency and robustness of the proposed methodology.

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