Planeacion eficiente de sistemas de distribucion desbalanceados: Un enfoque metaheuristico para la implementacion de generacion fotovoltaica y D-STATCOMs
| dc.contributor.advisor | Montoya Giraldo, Oscar Danilo | |
| dc.contributor.author | Avellaneda Gomez, Laura Sofia | |
| dc.contributor.orcid | Montoya Giraldo, Oscar Danilo [0000-0001-6051-4925] | |
| dc.date.accessioned | 2025-12-16T16:45:51Z | |
| dc.date.available | 2025-12-16T16:45:51Z | |
| dc.date.created | 2025-11-14 | |
| dc.description | n la actualidad, la planeación de los sistemas eléctricos se enfrenta a importantes desafíos derivados del crecimiento acelerado, avances tecnológicos y disponibilidad de recursos naturales requeridos para la generación de energía eléctrica. Razones por las cuales, la eficiencia en la planeación es fundamental para garantizar sistemas eléctricos que sean económicamente viables, técnicamente eficientes y que generen un impacto ambiental cada vez menor. La literatura especializada ha abordado diversas perspectivas para mejorar la eficiencia de los sistemas eléctricos. Se han propuesto múltiples técnicas orientadas a reducir las pérdidas de potencia, minimizar el impacto ambiental, disminuir los costos económicos del sistema y mejorar su fiabilidad, entre otros aspectos. En este contexto, la integración de generación distribuida se ha presentado como una oportunidad para mejorar aspectos técnicos y económicos, al tiempo que contribuye a mitigar el impacto ambiental asociado a la generación eléctrica convencional. Dentro de investigaciones específicas que abordan estos desafíos, se destaca el problema de optimización en los sistemas de distribución desbalanceados a partir del dimensionamiento y localización de generación fotovoltaica y compensadores estáticos de potencia reactiva en distribución (D-STATCOM). En este contexto, el presente trabajo propone una metodología integral para la planificación de sistemas eléctricos de distribución desbalanceados, con el objetivo de optimizar tanto su desempeño técnico como su eficiencia económica. La metodología desarrollada incluye la evaluación del impacto de la integración de generación distribuida y D-STATCOM, empleando algoritmos especializados para resolver el flujo de potencia y determinar de manera eficiente la ubicación y tamaño de los elementos en la red. Para evaluar la efectividad de la metodología propuesta esta se aplica sobre sistemas presentes en la literatura especializada, los cuales se optimizan a partir de un enfoque mono objetivo, los cuales son: (i) costos totales de operación y (ii) pérdidas totales de energía. Para resolver el modelo propuesto, se implementaron cuatro metodologías maestro-esclavo basadas en algoritmos metaheurísticos. En la fase maestra, se aplicaron diferentes algoritmos de búsqueda, incluyendo el algoritmo de búsqueda por vórtices, el algoritmo de optimización mediante distribución normal generalizada, el método de Enjambre de Partículas y el algoritmo genético de Chu & Beasley. En la fase esclava, se utilizó una versión matricial del método de flujo de potencia basada en aproximaciones sucesivas para calcular los valores de las funciones objetivo y evaluar las restricciones técnicas y operativas definidas en el modelo matemático. | |
| dc.description.abstract | Currently, the planning of electrical systems faces significant challenges arising from accelerated growth, technological advances, and the availability of natural resources required for electric power generation. For these reasons, efficiency in planning is essential to ensure electrical systems that are economically viable, technically efficient, and that produce an increasingly lower environmental impact. The specialized literature has addressed various perspectives to improve the efficiency of electrical systems. Multiple techniques have been proposed to reduce power losses, minimize environmental impact, lower the system’s economic costs, and improve its reliability, among other aspects. In this context, the integration of distributed generation has emerged as an opportunity to improve both technical and economic aspects, while contributing to the mitigation of the environmental impact associated with conventional power generation. Among specific research efforts addressing these challenges, the optimization problem in unbalanced distribution systems stands out, particularly in terms of the sizing and location of photovoltaic generation and static reactive power compensators in distribution (D-STATCOM). In this context, the present work proposes a comprehensive methodology for the planning of unbalanced distribution electrical systems, aiming to improve both the technical performance and the economic efficiency of the network. The proposed methodology includes the evaluation of the impact of integrating distributed generation and D-STATCOM, using algorithms to solve the power flow and determine the location and size of the elements within the network. To assess the effectiveness of the proposed methodology, it will be applied to systems reported in specialized literature, which will be optimized through a single-objective approach targeting: (i) total operating costs and (ii) total energy losses. To solve the proposed model, four master–slave methodologies based on metaheuristic algorithms were used. In the master stage, four different algorithms were implemented: Vortex Search Algorithm, Generalized Normal Distribution Optimization, Particle Swarm Optimization, and Chu \& Beasley Genetic Algorithm . In the slave stage, a matrix-based version of the successive approximations power flow method was employed to determine the value of the objective functions and to evaluate the technical and operational constraints defined in the mathematical model. | |
| dc.format.mimetype | ||
| dc.identifier.uri | http://hdl.handle.net/11349/100179 | |
| 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 | Pérdidas de potencia | |
| dc.subject | Generadores fotovoltaicos | |
| dc.subject | Metodología maestro esclavo | |
| dc.subject | Algoritmos metaheurísticos | |
| dc.subject.keyword | Power losses | |
| dc.subject.keyword | Photovoltaic generators | |
| dc.subject.keyword | Master slave methodology | |
| dc.subject.keyword | Unbalanced distribution systems | |
| dc.subject.lemb | Maestría en Ingeniería - Énfasis en Ingeniería Electrónica -- Tesis y disertaciones académicas | |
| dc.title | Planeacion eficiente de sistemas de distribucion desbalanceados: Un enfoque metaheuristico para la implementacion de generacion fotovoltaica y D-STATCOMs | |
| dc.title.titleenglish | Efficient planning of unbalanced distribution systems: A metaheuristic approach for the implementation of photovoltaic generation and D-STATCOMs | |
| dc.type | masterThesis | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.degree | Monografía | |
| dc.type.driver | info:eu-repo/semantics/bachelorThesis |
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