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Ochoa Correa, Danny Vinicio

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1987-02-15

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0000-0001-5633-1480

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57192696528

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Universidad de Cuenca
Universidad de Cuenca, Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones(DEET), Cuenca, Ecuador

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Ecuador

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Facultad de Ingeniería
La Facultad de Ingeniería, a inicios de los años 60, mediante resolución del Honorable Consejo Universitario, se formalizó la Facultad de Ingeniería de la Universidad de Cuenca, conformada por las escuelas de Ingeniería Civil y Topografía. Esta nueva estructura permitió una mayor especialización y fortalecimiento en áreas clave para el desarrollo regional. Cuenta con programas académicos reconocidos internacionalmente, que promueven y lideran actividades de investigación. Aplica un modelo educativo centrado en el estudiante y con procesos de mejora continua. Establece como prioridad una educación integra, la formación humanística es parte del programa de estudios que complementa a la sólida preparación científico-técnica. Las actividades culturales pertenecen a un programa permanente y activo al interior de nuestras dependencias, a la par de proyectos que desde el alumnado y bajo la supervisión de docentes cumplen con servicios de apoyo a nivel local y regional; promoviendo así una vinculación estrecha con la comunidad.

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Ochoa Correa

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Danny Vinicio

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2014 - 201912020 - 20242
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Now showing 1 - 3 of 3
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    Publication
    Service restoration in distribution systems considering priority customers and microgrids
    (2024) Ochoa Correa, Danny Vinicio; Campoverde Encalada, Eduardo Luis; Torres Contreras, Santiago Patricio
    Service restoration (SR) consists of automatically generating and executing a plan to restore the service in healthy zones using the least number of maneuvers after detecting and isolating a permanent fault in the distribution system zone. This component is essential to self-healing functionality in smart grids and allows customers to reconnect quickly to the distribution grid after a power outage. Distributed generation (DG) supports the distribution network when there is insufficient capacity to restore all zones out of service or supply the loads locally through microgrids. The power supply must be restored to the highest priority customers in case of partial restoration. Also, most research works use simplified or linearized models to propose restoration algorithms. This paper proposes a complete AC formulation for the service restoration problem in distribution systems considering network reconfiguration (NR), the integration of distributed generation (DG), and priority customers (PCs) into the solution. The optimization problem is solved by a centralized algorithm based on combining the Differential Evolution (DE) and Continuous Population-Based Incremental Learning (PBILc) metaheuristics techniques. Simulation results are presented for three case studies in which the IEEE 33-bus distribution system is tested for different fault scenarios. The numerical results show the robustness and efficiency of the proposed algorithm.
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    Implementación masiva de medios de electromovilidad en entornos urbanos y su impacto en la red eléctrica.
    (Universidad de Cuenca, 2024) Ochoa Correa, Danny Vinicio; Iñiguez Morán, Vinicio Estuardo; Espinoza Abad, Juan Leonardo
    This chapter unveils the pivotal research findings that are instrumental in the widespread adoption of electromobility in Cuenca, Ecuador. These findings, a product of the Microgrid Laboratory and the Department of Electrical, Electronic, and Telecommunications Engineering of the University of Cuenca, have meticulously examined the impact of this large-scale implementation of electromobility on the electric grid. The aim is to propose innovative technical solutions to ease the transition to sustainable mobility. A concise overview of five studies conducted in recent years on this subject is presented to provide a comprehensive understanding. The first focuses on determining the energy efficiency of an electric bicycle (e-bike) that travels on city bike paths and provides a complete characterization of the battery charging process and an analysis of the power quality. The second proposes a methodology to dampen the power fluctuations of a solar photovoltaic system by harnessing electric vehicle batteries during recharging. The third presents the results of an energy efficiency study of a battery electric bus (BEB). It determines the technical feasibility of replacing the entire fleet of conventional buses in the city of Cuenca with BEBs. The fourth paper analyzes the impact of implementing 23 fast charging stations for electric vehicles (EVs) on the electric distribution network. This number of stations is designed to meet the demand for 11500 EVs, equivalent to a penetration rate of 10% in the city's urban area. Finally, the fifth research work determines the potential for the production of green hydrogen by taking advantage of the hydraulic energy that is not used by the power plants of the Paute-Integral Hydroelectric Complex under favorable hydrological conditions and analyzes the feasibility of replacing the fleet of conventional public transportation buses in Cuenca with electric buses powered by hydrogen fuel cells. The results of this research provide valuable inputs, including technical and economic aspects, to promote the massive implementation of electromobility in the city of Cuenca in a technically and environmentally sustainable way without compromising the quality of the electric service provided to the citizens.
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    Publication
    Modelación dinámica de la demanda y oferta de una micro-red eléctrica
    (Universidad de Cuenca, Facultad de Ingeniería, 2014) Cabrera Tacuri, Andrés Eulalio; Cueva Camacho, Hugo Xavier; Sempertegui Álvarez, Rodrigo Efraín; Espinoza Abad, Juan Leonardo; Guevara Toledo, Andrea Patricia; Ochoa Correa, Danny Vinicio
    In this paper a dynamic simulation model is proposed to forecast both energy supply and demand throughout the day of an electrical micro-grid, of a home equipped with photovoltaic panels. The supply forecast considers both physical and climatic parameters, while the demand forecast is based on the different devices that are connected and the activity of the residents. The system enables the elaboration of the daily load and generation curves of the micro-grid.