L
Lazaro Alvarado-Barrios
Researcher at Loyola University Chicago
Publications - 19
Citations - 266
Lazaro Alvarado-Barrios is an academic researcher from Loyola University Chicago. The author has contributed to research in topics: Genetic algorithm & Electric power system. The author has an hindex of 7, co-authored 18 publications receiving 114 citations. Previous affiliations of Lazaro Alvarado-Barrios include University of Seville.
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Stochastic unit commitment in microgrids: Influence of the load forecasting error and the availability of energy storage
Lazaro Alvarado-Barrios,Álvaro Rodríguez del Nozal,Juan Boza Valerino,Ignacio García Vera,Jose L. Martinez-Ramos +4 more
TL;DR: A Stochastic Model for the Unit Commitment (SUC) problem of a hybrid microgrid for a short period of 24 h is presented and a spinning reserve of the dispatchable units is considered, able to cover the uncertainties in the demand estimation.
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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
TL;DR: 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.
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Reduction of Losses and Operating Costs in Distribution Networks Using a Genetic Algorithm and Mathematical Optimization
Fabio Edison Riaño,Jonathan Felipe Cruz,Oscar Danilo Montoya,Harold R. Chamorro,Lazaro Alvarado-Barrios +4 more
TL;DR: This study deals with the minimization of the operational and investment cost in the distribution and operation of the power flow considering the installation of fixed-step capacitor banks by applying the Chu and Beasley genetic algorithm.
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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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A Hybrid Approach Based on SOCP and the Discrete Version of the SCA for Optimal Placement and Sizing DGs in AC Distribution Networks
Oscar Danilo Montoya,Alexander Molina-Cabrera,Harold R. Chamorro,Lazaro Alvarado-Barrios,Edwin Rivas-Trujillo +4 more
TL;DR: Numerical validations of the proposed hybrid SCA-SOCP to optimal placement and sizing of DGs in AC distribution networks show its capacity to find global optimal solutions.