Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm

Jorge Hernandez-Ambato; Betty Tacuri-Sanchez; Ramiro Isa-Jara; Victor Herrera-Perez

doi:10.1007/978-3-032-16851-1_17

Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm

Jorge Hernandez-Ambato
, Betty Tacuri-Sanchez
, Ramiro Isa-Jara
, Victor Herrera-Perez^*

^*Autor correspondiente de este trabajo

Escuela Superior Politécnica de Chimborazo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to optimize the configuration of photovoltaic (PV) panels, wind turbines (WT), and battery energy storage systems (BESS) to meet an average power demand. Detailed electrical and mathematical models of PV generation, WT systems, and energy storage are developed and integrated into the optimization framework. The study utilizes solar irradiance and wind speed data from two locations in Ecuador: Aromo and Arenal, considering two specific hardware configurations. The optimization results were statistically validated through 30 simulation runs for each location and proposed scenarios. Subsequently, the optimized configurations were evaluated using the complete power demand profile. The final results provide optimized solutions to minimize implementation costs or power losses, depending on available energy resources and hardware configurations.

Idioma original	Inglés
Título de la publicación alojada	Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers
Editores	Teresa Guarda, Filipe Portela, Maria Fernanda Augusto
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	237-251
Número de páginas	15
ISBN (versión impresa)	9783032168504
DOI	https://doi.org/10.1007/978-3-032-16851-1_17
Estado	Publicada - 2026
Evento	Workshops of the International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2025 - Cartagena de Indias, Colombia Duración: 21 oct. 2025 → 23 oct. 2025

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	2792 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	Workshops of the International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2025
País/Territorio	Colombia
Ciudad	Cartagena de Indias
Período	21/10/25 → 23/10/25

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

Acceder al documento

10.1007/978-3-032-16851-1_17

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Hernandez-Ambato, J., Tacuri-Sanchez, B., Isa-Jara, R., & Herrera-Perez, V. (2026). Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm. En T. Guarda, F. Portela, & M. F. Augusto (Eds.), Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers (pp. 237-251). (Communications in Computer and Information Science; Vol. 2792 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-16851-1_17

Hernandez-Ambato, Jorge ; Tacuri-Sanchez, Betty ; Isa-Jara, Ramiro et al. / Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm. Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers. editor / Teresa Guarda ; Filipe Portela ; Maria Fernanda Augusto. Springer Science and Business Media Deutschland GmbH, 2026. pp. 237-251 (Communications in Computer and Information Science).

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abstract = "This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to optimize the configuration of photovoltaic (PV) panels, wind turbines (WT), and battery energy storage systems (BESS) to meet an average power demand. Detailed electrical and mathematical models of PV generation, WT systems, and energy storage are developed and integrated into the optimization framework. The study utilizes solar irradiance and wind speed data from two locations in Ecuador: Aromo and Arenal, considering two specific hardware configurations. The optimization results were statistically validated through 30 simulation runs for each location and proposed scenarios. Subsequently, the optimized configurations were evaluated using the complete power demand profile. The final results provide optimized solutions to minimize implementation costs or power losses, depending on available energy resources and hardware configurations.",

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Hernandez-Ambato, J, Tacuri-Sanchez, B, Isa-Jara, R & Herrera-Perez, V 2026, Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm. En T Guarda, F Portela & MF Augusto (eds.), Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers. Communications in Computer and Information Science, vol. 2792 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 237-251, Workshops of the International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2025, Cartagena de Indias, Colombia, 21/10/25. https://doi.org/10.1007/978-3-032-16851-1_17

Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm. / Hernandez-Ambato, Jorge; Tacuri-Sanchez, Betty; Isa-Jara, Ramiro et al.
Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers. ed. / Teresa Guarda; Filipe Portela; Maria Fernanda Augusto. Springer Science and Business Media Deutschland GmbH, 2026. p. 237-251 (Communications in Computer and Information Science; Vol. 2792 CCIS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Hernandez-Ambato, Jorge

AU - Tacuri-Sanchez, Betty

AU - Isa-Jara, Ramiro

AU - Herrera-Perez, Victor

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to optimize the configuration of photovoltaic (PV) panels, wind turbines (WT), and battery energy storage systems (BESS) to meet an average power demand. Detailed electrical and mathematical models of PV generation, WT systems, and energy storage are developed and integrated into the optimization framework. The study utilizes solar irradiance and wind speed data from two locations in Ecuador: Aromo and Arenal, considering two specific hardware configurations. The optimization results were statistically validated through 30 simulation runs for each location and proposed scenarios. Subsequently, the optimized configurations were evaluated using the complete power demand profile. The final results provide optimized solutions to minimize implementation costs or power losses, depending on available energy resources and hardware configurations.

AB - This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to optimize the configuration of photovoltaic (PV) panels, wind turbines (WT), and battery energy storage systems (BESS) to meet an average power demand. Detailed electrical and mathematical models of PV generation, WT systems, and energy storage are developed and integrated into the optimization framework. The study utilizes solar irradiance and wind speed data from two locations in Ecuador: Aromo and Arenal, considering two specific hardware configurations. The optimization results were statistically validated through 30 simulation runs for each location and proposed scenarios. Subsequently, the optimized configurations were evaluated using the complete power demand profile. The final results provide optimized solutions to minimize implementation costs or power losses, depending on available energy resources and hardware configurations.

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KW - Particle Swarm Optimization

KW - hybrid energy

KW - solar energy

KW - wind energy

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Hernandez-Ambato J, Tacuri-Sanchez B, Isa-Jara R, Herrera-Perez V. Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm. En Guarda T, Portela F, Augusto MF, editores, Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2026. p. 237-251. (Communications in Computer and Information Science). doi: 10.1007/978-3-032-16851-1_17