Application of the Vortex Search Algorithm to the Phase-Balancing Problem in Distribution Systems
Brandon Cortés-Caicedo,Laura Sofía Avellaneda-Gómez,Oscar Danilo Montoya,Lazaro Alvarado-Barrios,Harold R. Chamorro +4 more
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TLDR
The numerical results of simulations performed in IEEE 8, 25, and 37-node test systems demonstrate the applicability of the proposed DVSA methodology when compared with the classical Cuh & Beasley genetic algorithm.Abstract:
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.read more
Citations
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Accurate and efficient derivative-free three-phase power flow method for unbalanced distribution networks
Oscar Danilo Montoya,Juan S. Giraldo,Luis Fernando Grisales-Noreña,Harold R. Chamorro,Lazaro Alvarado-Barrios +4 more
TL;DR: Numerical results present optimal solutions with processing times lower than 5 s, which confirms its applicability in large-scale optimization problems employing embedding master–slave optimization structures.
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Gaussian Copula Methodology to Model Photovoltaic Generation Uncertainty Correlation in Power Distribution Networks
TL;DR: This study used a Gaussian copula to model the uncertainty in correlated photovoltaic generators and the importance of including correlations among photov Holtaic generators is discussed.
Journal ArticleDOI
Improved Genetic Algorithm for Phase-Balancing in Three-Phase Distribution Networks: A Master-Slave Optimization Approach
Oscar Danilo Montoya,Alexander Molina-Cabrera,Luis Fernando Grisales-Noreña,Ricardo A. Hincapie,Mauricio Granada +4 more
TL;DR: Numerical results from a modified version of the IEEE 37-node test feeder demonstrate that it is possible to reduce the annual operative costs of the network by approximately 20% by using optimal load balancing and that the improved version ofThe CBGA is at least three times faster than the classical CBGA.
Journal ArticleDOI
Optimal Demand Reconfiguration in Three-Phase Distribution Grids Using an MI-Convex Model
Oscar Danilo Montoya,Andrés Arias-Londoño,Luis Fernando Grisales-Noreña,Jose Angel Barrios,Harold R. Chamorro +4 more
TL;DR: In this article, the problem of optimal load redistribution in electrical three-phase medium-voltage grids is addressed from the point of view of mixed-integer convex optimization, where the objective function is defined as the l1-norm which is a convex function.
Journal ArticleDOI
Operating Cost Reduction in Distribution Networks Based on the Optimal Phase-Swapping including the Costs of the Working Groups and Energy Losses
TL;DR: The problem of optimal phase-balancing in three-phase asymmetric distribution networks is addressed in this research from the point of view of combinatorial optimization using a master–slave optimization approach using the improved sine cosine algorithm (ISCA).
References
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A new metaheuristic for numerical function optimization: Vortex Search algorithm
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