Balance de fases usando colonia de hormigas

Garcés-Ruiz, Alejandro; Echeverri, Mauricio Granada; Gallego-R, Ramón A.; Eléctrica, Facultad de Ingeniería

doi:10.25100/iyc.v7i2.2517

Cited by 4 publications

(6 citation statements)

References 5 publications

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“…It was concluded that a more reliable system was obtained, since the likelihood of overcurrent protection devices actuation was decreased in the neutral. In [20], PB was developed through ant colony optimization, where energy loss was minimized over a 24 h interval for distribution systems, which reduced the neutral current and energy consumption price on the side of the end user. With this methodology, it was concluded that the proposed algorithm is beneficial for power systems with limited economic resources, since the configurations for phase reorganization are at the optimal during the period under study.…”

Section: Review Of the State Of The Artmentioning

confidence: 99%

“…Method/Algorithm [16] Mixed-integer programming [17] Simulated Annealing [3,11,18,31,33] Genetic Algorithm [19,30] Backward recurrence search heuristic algorithm [20] Ant colony optimization algorithm [21,27,29] Particle Swarm Optimization Algorithm [22] Heuristic rules [23] Immune Algorithm [24] Automatic System-Mapping [25,26] Hybrid Heuristic Algorithm [8,28] Heuristic Method [32] Analytic approach Table 2. Summary of the objective functions presented in the state of the art.…”

Section: Referencementioning

confidence: 99%

“…Objective Function [8,16,18,19,21,25,26,[28][29][30]32] Minimize system-unbalancing [17,22,23,27] Minimize operative costs [11,24,31] Minimize power losses [3,20,33] Minimize energy losses…”

Section: Referencementioning

confidence: 99%

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Application of the Vortex Search Algorithm to the Phase-Balancing Problem in Distribution Systems

Cortés-Caicedo

Montoya

et al. 2021

Energies

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This article discusses the problem of minimizing power loss in unbalanced distribution systems through phase-balancing. This problem is represented by a mixed-integer nonlinear-programming mathematical model, which is solved by applying a discretely encoded Vortex Search Algorithm (DVSA). The numerical results of simulations performed in IEEE 8-, 25-, and 37-node test systems demonstrate the applicability of the proposed methodology when compared with the classical Cuh & Beasley genetic algorithm. In addition, the computation times required by the algorithm to find the optimal solution are in the order of seconds, which makes the proposed DVSA a robust, reliable, and efficient tool. All computational implementations have been developed in the MATLAB® programming environment, and all the results have been evaluated in DigSILENT© software to verify the effectiveness and the proposed three-phase unbalanced power-flow method.

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Section: Review Of the State Of The Artmentioning

confidence: 99%

Section: Referencementioning

confidence: 99%

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Application of the Vortex Search Algorithm to the Phase-Balancing Problem in Distribution Systems

Cortés-Caicedo

Montoya

et al. 2021

Energies

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“…In order to relate the voltage drops in the branches to their corresponding currents, the three-phase version of the branch impedance matrix 𝐙 𝐿3𝜙 is used. This matrix is defined in (23), and the relationship between voltages and currents is presented in (24).…”

Section: Slave Stage: Matricial Backward/forward Power Flow Methodsmentioning

confidence: 99%

“…In [23], the phase-balancing problem in unbalanced distribution systems was addressed via the antcolony optimization algorithm. The main objective of this work was to reduce the technical losses of the grid, in addition to improving the quality, safety, and reliability of the service.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of the SSA to the Optimal Phase-Swapping Problem in Three-Phase Asymmetric Networks

Vargas-Beltrán,

Angarita-Santofimio,

Montoya

2023

Rev. UIS ing.

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This research addresses the optimal phase-balancing problem by applying a master-slave optimization methodology. The master stage defines the load connections per node using a discrete codification, while the slave stage evaluates each load configuration provided by the master stage via a three-phase power flow. For the master stage, the salp swarm algorithm (SSA) was selected, which is an efficient bio-inspired technique to deal with continuous and discrete nonlinear optimization problems. The slave stage employed the matricial backward/forward power flow method for three-phase asymmetric networks. Numerical simulations in IEEE test feeders composed of 8, 25, and 37 nodes confirm the effectiveness of the SSA approach in finding efficient solutions regarding the expected grid power losses after optimal load phase-swapping. Numerical comparisons with the vortex search algorithm, the Chu & Beasley genetic algorithm, and the crow search algorithm demonstrate the effectiveness of the proposed methodology in dealing with the studied problem. All numerical validations were carried out in the MATLAB programming environment.

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Application of the Hurricane-Based Optimization Algorithm to the Phase-Balancing Problem in Three-Phase Asymmetric Networks

2022

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This article addresses the problem of optimal phase-swapping in asymmetric distribution grids through the application of hurricane-based optimization algorithm (HOA). The exact mixed-integer nonlinear programming (MINLP) model is solved by using a master–slave optimization procedure. The master stage is entrusted with the definition of load connection at each stage by using an integer codification that ensures that, per node, only one from the possible six-load connections is assigned. In the slave stage, the load connection set provided by the master stage is applied with the backward/forward power flow method in its matricial form to determine the amount of grid power losses. The computational performance of the HOA was tested in three literature test feeders composed of 8, 25, and 37 nodes. Numerical results show the effectiveness of the proposed master–slave optimization approach when compared with the classical Chu and Beasley genetic algorithm (CBGA) and the discrete vortex search algorithm (DVSA). The reductions reached with HOA were 24.34%, 4.16%, and 19.25% for the 8-, 28-, and 37-bus systems; this confirms the literature reports in the first two test feeders and improves the best current solution of the IEEE 37-bus grid. All simulations are carried out in the MATLAB programming environment.

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Balance de fases usando colonia de hormigas

Cited by 4 publications

References 5 publications

Application of the Vortex Search Algorithm to the Phase-Balancing Problem in Distribution Systems

Application of the Vortex Search Algorithm to the Phase-Balancing Problem in Distribution Systems

Application of the SSA to the Optimal Phase-Swapping Problem in Three-Phase Asymmetric Networks

Application of the Hurricane-Based Optimization Algorithm to the Phase-Balancing Problem in Three-Phase Asymmetric Networks

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