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Improved Genetic Algorithm for Phase-Balancing in Three-Phase Distribution Networks: A Master-Slave Optimization Approach
Article

Optimal Selection of Conductors in Three-Phase Distribution Networks Using a Discrete Version of the Vortex Search Algorithm

1
Ingeniería Eléctrica, Universidad Distrital Francisco José de Caldas, Bogotá D.C. 110231, Colombia
2
Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá D.C. 110231, Colombia
3
Laboratorio Inteligente de Energía, Universidad Tecnológica de Bolívar, Cartagena 131001, Colombia
*
Author to whom correspondence should be addressed.
Academic Editors: George Tsakalidis and Kostas Vergidis
Received: 22 May 2021 / Revised: 16 July 2021 / Accepted: 16 July 2021 / Published: 18 July 2021
(This article belongs to the Special Issue Recent Advances in Process Modeling and Optimisation)
In this study, a new methodology is proposed to perform optimal selection of conductors in three-phase distribution networks through a discrete version of the metaheuristic method of vortex search. To represent the problem, a single-objective mathematical model with a mixed-integer nonlinear programming (MINLP) structure is used. As an objective function, minimization of the investment costs in conductors together with the technical losses of the network for a study period of one year is considered. Additionally, the model will be implemented in balanced and unbalanced test systems and with variations in the connection of their loads, i.e., Δ- and Y-connections. To evaluate the costs of the energy losses, a classical backward/forward three-phase power-flow method is implemented. Two test systems used in the specialized literature were employed, which comprise 8 and 27 nodes with radial structures in medium voltage levels. All computational implementations were developed in the MATLAB programming environment, and all results were evaluated in DigSILENT software to verify the effectiveness and the proposed three-phase unbalanced power-flow method. Comparative analyses with classical and Chu & Beasley genetic algorithms, tabu search algorithm, and exact MINLP approaches demonstrate the efficiency of the proposed optimization approach regarding the final value of the objective function. View Full-Text
Keywords: conductor selection; mathematical optimization; distribution systems; three-phase; power flow; energy losses; vortex search algorithm conductor selection; mathematical optimization; distribution systems; three-phase; power flow; energy losses; vortex search algorithm
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MDPI and ACS Style

Martínez-Gil, J.F.; Moyano-García, N.A.; Montoya, O.D.; Alarcon-Villamil, J.A. Optimal Selection of Conductors in Three-Phase Distribution Networks Using a Discrete Version of the Vortex Search Algorithm. Computation 2021, 9, 80. https://0-doi-org.brum.beds.ac.uk/10.3390/computation9070080

AMA Style

Martínez-Gil JF, Moyano-García NA, Montoya OD, Alarcon-Villamil JA. Optimal Selection of Conductors in Three-Phase Distribution Networks Using a Discrete Version of the Vortex Search Algorithm. Computation. 2021; 9(7):80. https://0-doi-org.brum.beds.ac.uk/10.3390/computation9070080

Chicago/Turabian Style

Martínez-Gil, John F., Nicolas A. Moyano-García, Oscar D. Montoya, and Jorge A. Alarcon-Villamil 2021. "Optimal Selection of Conductors in Three-Phase Distribution Networks Using a Discrete Version of the Vortex Search Algorithm" Computation 9, no. 7: 80. https://0-doi-org.brum.beds.ac.uk/10.3390/computation9070080

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