Examinando por Materia "Balance de fases"
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Ítem Aplicación del algoritmo de enjambre de salpas al balance de fases en sistemas trifásicos asimétricosVargas Beltran, Antonny Santiago; Angarita Santofimio, Oscar Mauricio; Montoya Giraldo, Oscar Danilo; Angarita Santofimio, Oscar Mauricio [0009-0005-6711-9756]; Montoya Giraldo, Oscar Danilo [0000-0001-6051-4925]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.Ítem Aplicación del algoritmo de optimización aritmética al problema de balance de fases en sistemas de distribución asimétricosTique Tique, Nelson Omero; Castillo Sáenz, Juan Camilo; Montoya Giraldo, Oscar Danilo; Montoya Giraldo, Oscar Danilo; Montoya Giraldo, Oscar Danilo [0000-0001-6051-4925]This article presents the application of the Arithmetic Optimization Algorithm (AOA) to address the phase balancing problem in asymmetric electrical distribution systems. The MATLAB software is employed for the implementation of this algorithm, and a comparative analysis is conducted between the results obtained from the networks presented in specialized literature and those obtained using other optimization algorithms, with a focus on power losses. The main objective of this study is to determine the optimal load connection at each node in order to minimize active power losses, which serves as the objective function within this context. The investigation is based on the standard IEEE test networks consisting of 25 and 37 nodes, specifically selected from specialized literature. A master-slave strategy is proposed, where the iterative power flow is programmed as the slave stage in its three-phase version. Power losses are analyzed under standard conditions of phase connections at the load. Following this, the Arithmetic Optimization Algorithm (AOA) is programmed as the master stage, leading to the identification of the most optimal connections to be implemented. These connections are compared and evaluated against alternative methodologies as well as the base case, aiming to assess their effectiveness in reducing power losses.