"Estimación de parámetros en módulos fotovoltaicos mediante el modelo de tres diodos y el método de optimización hiperbólica sech-tanh”
| dc.contributor.advisor | Montoya Giraldo, Oscar Danilo | |
| dc.contributor.author | Aguilar Rodriguez, , Gisell Stefanny | |
| dc.contributor.author | Yépez González, Luis Alejandro | |
| dc.contributor.orcid | Montoya Giraldo, Oscar Danilo [ 0000-0001-6051-4925 ] | |
| dc.date.accessioned | 2025-05-23T15:40:30Z | |
| dc.date.available | 2025-05-23T15:40:30Z | |
| dc.date.created | 2025-05-09 | |
| dc.description | Esta investigación optimiza la estimación de parámetros en celdas fotovoltaicas mediante el Algoritmo de Optimización Hiperbólica Secante-Tangente (ASOA, por sus siglas en inglés) considerando el modelo de tres diodos, el cual ofrece una representación más precisa del comportamiento eléctrico de las celdas solares. Se comparó el ASOA con el método de puntos interiores de MATLAB; fmincon, evaluando su precisión, estabilidad y capacidad de evitar mínimos locales. Los resultados muestran que ASOA mejora la estimación de parámetros, minimizando el error en la curva V-I y adaptándose a condiciones más complejas de optimización. Además, se analizó el impacto del número de iteraciones en la precisión del modelo, identificándose un punto óptimo de convergencia en las 3000 iteraciones, donde se logró un equilibrio adecuado entre precisión y costo computacional. A partir de este valor, la función de adaptación mejora significativamente, sin necesidad de continuar incrementando el número de iteraciones. Así, se consolida la combinación del modelo de tres diodos con el algoritmo ASOA como una herramienta eficiente y robusta para la caracterización y optimización de celdas fotovoltaicas, favoreciendo el desarrollo de sistemas solares más precisos y confiables. Además del avance técnico, este trabajo tiene un impacto significativo en la sostenibilidad energética. La mejora en la precisión de los modelos fotovoltaicos contribuye directamente al desarrollo de sistemas solares más eficientes, rentables y sostenibles, promoviendo la integración de tecnologías solares en condiciones reales de operación. Esto resulta crucial en el contexto actual, en el que la transición hacia matrices energéticas más limpias constituye una prioridad global para mitigar el cambio climático y reducir la dependencia de los combustibles fósiles. El enfoque innovador propuesto también fomenta la colaboración interdisciplinaria entre expertos en matemáticas, ingeniería y energías renovables, impulsando el desarrollo de tecnologías avanzadas en este campo. Al abordar desafíos técnicos relacionados con la no linealidad del modelo de tres diodos y ofrecer soluciones prácticas mediante el ASOA, este trabajo no solo representa un avance en el ámbito académico, sino que también tiene implicaciones significativas para la industria de la energía renovable. En última instancia, esta investigación contribuye al logro de un futuro energético más sostenible, al apoyar los objetivos internacionales de sostenibilidad y facilitar una mayor adopción de tecnologías limpias a nivel global. | |
| dc.description.abstract | This research optimizes the parameter estimation in photovoltaic cells using the Secant-Hyperbolic Tangent Optimization Algorithm (ASOA, by its acronym in English) considering the three-diode model, which provides a more accurate representation of the electrical behavior of solar cells. The ASOA was compared with the interior-point method of MATLAB; fmincon, evaluating its accuracy, stability, and ability to avoid local minima. The results show that ASOA improves parameter estimation, minimizing the error in the V-I curve and adapting to more complex optimization conditions. Additionally, the impact of the number of iterations on the model’s accuracy was analyzed, identifying an optimal convergence point at 3000 iterations, where a proper balance between accuracy and computational cost was achieved. Beyond this point, the adaptation function improves significantly, making it unnecessary to continue increasing the number of iterations. Thus, the combination of the three-diode model with the ASOA algorithm is established as an efficient and robust tool for the characterization and optimization of photovoltaic cells, supporting the development of more accurate and reliable solar energy systems. Beyond the technical advancements, this work has a significant impact on energy sustainability. Improving the accuracy of photovoltaic models directly contributes to the development of more efficient, cost-effective, and sustainable solar systems, fostering the integration of solar technologies under real operating conditions. This is particularly crucial in the current context, where the transition to cleaner energy sources is a global priority to mitigate climate change and reduce reliance on fossil fuels. The proposed innovative approach also encourages interdisciplinary collaboration among experts in mathematics, engineering, and renewable energy, driving the development of advanced technologies in this field. By addressing technical challenges related to the nonlinearity of the three-diode model and providing practical solutions through ASOA, this work represents not only an academic breakthrough but also holds significant implications for the renewable energy industry. Ultimately, this research contributes to a more sustainable energy future by supporting international sustainability goals and promoting the widespread adoption of clean technologies on a global scale. | |
| dc.format.mimetype | ||
| dc.identifier.uri | http://hdl.handle.net/11349/95662 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Distrital Francisco José de Caldas | |
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| dc.rights.acceso | Abierto (Texto Completo) | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Optimización de parámetros | |
| dc.subject | Modelo de tres diodos | |
| dc.subject | Método de Optimización Hiperbólica Secante-Tangente (ASOA) | |
| dc.subject | Eficiencia fotovoltaica | |
| dc.subject | Sistemas no lineales. | |
| dc.subject.keyword | Parameter optimization | |
| dc.subject.keyword | Three-diode model | |
| dc.subject.keyword | Secant and Hyperbolic Tangent Optimization Method (ASOA) | |
| dc.subject.keyword | Photovoltaic efficiency | |
| dc.subject.keyword | Nonlinear systems | |
| dc.subject.lemb | Ingeniería Electrónica -- Tesis y disertaciones académicas | |
| dc.title | "Estimación de parámetros en módulos fotovoltaicos mediante el modelo de tres diodos y el método de optimización hiperbólica sech-tanh” | |
| dc.title.titleenglish | Parameter estimation in photovoltaic modules using the three-diode model and the sech-tanh hyperbolic optimization method | |
| dc.type | bachelorThesis | |
| dc.type.degree | Monografía | |
| dc.type.driver | info:eu-repo/semantics/bachelorThesis |
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