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https://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/11875Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | Rincón Bolivar, Jaime Esteban. | - |
| dc.date.accessioned | 2026-10-19T16:23:57Z | - |
| dc.date.available | 2022 | - |
| dc.date.available | 2026-10-19T16:23:57Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Rincón Bolivar, J. E. (2022). Ubicación óptima de Statcom para compensación de potencia reactiva en sistemas de distribución [Trabajo de Grado Pregrado, Universidad de Pamplona]. Repositorio Hulago Universidad de Pamplona. https://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/11875 | es_CO |
| dc.identifier.uri | https://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/11875 | - |
| dc.description | En los sistemas de distribución de energía eléctrica es típicamente de naturaleza radial, consta de una gran cantidad de ramas y nodos que eventualmente aumentan las pérdidas de energía y disminuyen el perfil de tensión de los sistemas. En este proyecto se investiga la ubicación y el dimensionamiento óptimos de STATCOM para un sistema de distribución, en este caso para la reducción de la pérdida de energía y la mejora del perfil de voltaje en las redes de distribución. El algoritmo de optimización de enjambre de partículas (PSO) se utiliza para encontrar la mejor ubicación. El análisis completo se lleva a cabo en los sistemas de distribución radial IEEE de 33 buses e IEEE de 69 buses. Cada sistema se considera por casos diferentes y los resultados comparativos obtenidos demostrarán la eficacia del método propuesto en lo que conlleva a la ubicación y la reducción de pérdidas de energía. | es_CO |
| dc.description.abstract | In electric power distribution systems it is typically radial in nature, consisting of a large number of branches and nodes that eventually increase energy losses and decrease the voltage profile of the systems. This project investigates the optimal placement and sizing of STATCOM for a distribution system, in this case for power loss reduction and voltage profile improvement in distribution networks. The particle swarm optimization (PSO) algorithm is used to find the best location. The complete analysis is carried out on the IEEE 33-bus and IEEE 69-bus radial distribution systems. Each system is considered for different cases and the comparative results obtained will demonstrate the effectiveness of the proposed method in terms of location and energy loss reduction. | es_CO |
| dc.format.extent | 57 | es_CO |
| dc.format.mimetype | application/pdf | es_CO |
| dc.language.iso | es | es_CO |
| dc.publisher | Universidad de Pamplona - Facultad de Ingenierías y Arquitectura. | es_CO |
| dc.subject | Optimización de enjambre de partículas (PSO). | es_CO |
| dc.subject | IEEE. | es_CO |
| dc.subject | Algoritmo. | es_CO |
| dc.subject | Perdidas. | es_CO |
| dc.subject | Potencia. | es_CO |
| dc.subject | Distribución. | es_CO |
| dc.subject | STATCOM. | es_CO |
| dc.title | Ubicación óptima de Statcom para compensación de potencia reactiva en sistemas de distribución. | es_CO |
| dc.type | http://purl.org/coar/resource_type/c_7a1f | es_CO |
| dc.date.accepted | 2022 | - |
| dc.relation.references | Ahmad, M., & Sheeraz, K. (2022). Simulation and analysis of a grid integrated distribution system based on LMS algorithm for hybrid types of load. Scopus. | es_CO |
| dc.relation.references | Castiblanco, C., Toro, D., & Giral, D. (2021). Optimal placement and sizing of d-statcom in radial and meshed distribution networks using a discrete-continuous version of the genetic algorithm. Scopus. | es_CO |
| dc.relation.references | Castiblanco, C., Toro, D., & montoya, O. (2021). Optimal Placement and Sizing of D-STATCOM in Radial and. Scopus. | es_CO |
| dc.relation.references | Dhivya, S., & Arul, R. (2021). Improved flower pollination algorithm-based optimal placement and sizing of DG for practical indian 52 bus system. Scopus. | es_CO |
| dc.relation.references | Gaur, D. (2017). Optimal placement of FACTS devices using optimization techniques. IopScience. | es_CO |
| dc.relation.references | Gaurav, T. (2017). A review on Reactive power compensation techniques using FACTS devices. Indian Journals. | es_CO |
| dc.relation.references | Jabir, H. J. (2018). Impacts of Demand-Side managament on Electrical power systems. Energies. | es_CO |
| dc.relation.references | Kar, M., Kumar, S., & Panigrahi, S. (2021). Reactive power management by using a modified differential evolution algorithm. Scopus. | es_CO |
| dc.relation.references | Kumarasamy, K., & Raghavan, R. (2012). Particle Swarm Optimization algorithm for voltage stability improvement using multiple STATCOM. IEEE Explore. | es_CO |
| dc.relation.references | Liu, F. (2018). The nonlinear internal control of STATCOM; theory and application . ScienceDirect. | es_CO |
| dc.relation.references | Mangaraj, M., & Sabat, J. (2020). Comparative analysis of both three fifth level based STATCOM using Icos technique . Scopus. | es_CO |
| dc.relation.references | Marini, F., & Walczak, B. (2018). Particle swarm optimization (PSO). A tutorial. ScienceDirect. | es_CO |
| dc.relation.references | Ni, Z., & Narimani, M. (2019). A new fast formulation of model predictive control for CHB STATCOM. Scopus. | es_CO |
| dc.relation.references | Panda Sidhartha, N. P. (2018). Optimal location and controller design of STATCOM for power system stability. ScienceDirect. | es_CO |
| dc.relation.references | Resener, M., & Haffner, S. (2018). Optimization techniques applied to planning of electric power distribution systems . SpringerLink. | es_CO |
| dc.relation.references | Rocha, L., Castro, R., & Jesus, J. M. (2018). An improved particle swarm optimization algorithm for optimal placement and sizing of STATCOM. Electrical Energy Systems. | es_CO |
| dc.relation.references | Rohouma, W., & Balog, R. S. (2018). Capacitor-Less D-STATCOM for Reactive Power . Scopus. | es_CO |
| dc.relation.references | Rosales, A., Grisales, L., Montano, J., & Montoya, O. (2021). Application of the multiverse optimization method to solve the optimal power flow problem in direct current electrical networks. Scopus. | es_CO |
| dc.relation.references | Sanam, J., Ganguly, S., & panda, A. (2017). Distribution STATCOM with optimal phase angle injection model. Scopus. | es_CO |
| dc.relation.references | Saxena, N. K., Gao, W. D., & Kumar, A. (2022). Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM. Scopus. | es_CO |
| dc.relation.references | Shafeeq, A. F., & Ibrahim, I. (2022). Simple Strategy for Finding Optimal Location and Size of Distributed Generators and SVC Devices in Radial Distribution Systems. Scopus. | es_CO |
| dc.relation.references | Shetty, D. (2017). Ziegler Nichols method based Robust reactive current controller for STATCOM. ScienceDirect. | es_CO |
| dc.relation.references | Tolabi, H., & Shakarami, M. (2018). Dynamic Modeling and Controller Design of DSTATCOM in a Microgrid Based on Combination of Fuzzy Set and Galaxy-based Search Algorithm. Scopus. | es_CO |
| dc.relation.references | Tuzikova, V., Tlusty, J., & Muller, Z. (2018). A Novel Power Losses Reduction Method Based on a Particle Swarm Optimization Algorithm Using STATCOM. Energies. | es_CO |
| dc.relation.references | Wang, P., Liu, Y., & Lin, J. (2022). Harris Hawks Optimization-Based Algorithm for STATCOM Voltage Regulation of Offshore Wind Farm Grid. Scopus. | es_CO |
| dc.relation.references | Xu, Y., Dong, Z. Y., & Guan, L. (2018). Preventive Dynamic Security Control of Power Systems Based on Pattern Discovery Technique. IEEE Xplore. | es_CO |
| dc.relation.references | Yang, X., & Tao, H. (2021). Multi - Objective optimal allocation of STATCOM based on Harmony search algorithm. Scopus. | es_CO |
| dc.rights.accessrights | http://purl.org/coar/access_right/c_abf2 | es_CO |
| dc.type.coarversion | http://purl.org/coar/resource_type/c_2df8fbb1 | es_CO |
| Aparece en las colecciones: | Ingeniería Eléctrica | |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| Rincón_2022_TG.pdf | Rincón_2022_TG | 1,34 MB | Adobe PDF | Visualizar/Abrir |
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