Resumen
Distributed generation represents an optimal solution for energy problems in remote sites, where access to energy distribution companies is difficult. This article therefore presents the modeling and optimization of an electric power system based on hybrid renewable energy (photovoltaic/hydrokinetic/diesel), combined with a Lithium Ion battery storage system. The analysis is performed using two methods. The first is a computational model based on mathematical equations using the Simulink Design Optimization (SDO) tool in Matlab. The second is a simulation of the hybrid system using the HOMER Software. The results show that the highest annual energy contribution corresponds to the hydrokinetic generation system (78.87%), the photovoltaic generation with a percentage of 19.59% and the penetration of the diesel generator is the lowest with 1.53%. In addition, the Nelder-Mead algorithm (SDO) shows a lower number of diesel generator starts, increasing the capacity of the batteries.
| Idioma original | Inglés |
|---|---|
| Páginas (desde-hasta) | 185-206 |
| Número de páginas | 22 |
| Publicación | Acta Polytechnica Hungarica |
| Volumen | 17 |
| N.º | 3 |
| DOI | |
| Estado | Publicada - 2020 |
Nota bibliográfica
Publisher Copyright:© 2020, Budapest Tech Polytechnical Institution. All rights reserved.
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
-
ODS 7: Energía asequible y no contaminante
Areas de Conocimiento del CACES
- 317A Electricidad y energía
Proyectos
- 1 Terminado
-
Análisis Técnico-Económico de Sistemas de Almacenamiento de Energía Renovable (ATESAER)
Parra Rosero, P. G. (Investigador Secundario), Lata Garcia, J. C. (Investigador principal), Collahuazo Chavez, N. A. (Estudiante Investigador) & Perez Pazmiño, A. J. (Estudiante Investigador)
5/12/18 → 6/12/19
Proyecto: Investigación y Desarrollo
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