Ubicación y dimensionamiento óptimos de generadores fotovoltaicos y compensadores estáticos de potencia reactiva en sistemas de distribución para la minimización del costo anual de compra de energía mediante el algoritmo de optimización fraccional
| dc.contributor.advisor | Montoya Giraldo, Oscar Danilo | |
| dc.contributor.advisor | Pulgarín Rivera, Juan Diego | |
| dc.contributor.author | Alonso Medina, Juan Sebastián | |
| dc.contributor.orcid | Montoya Giraldo, Oscar Danilo [0000-0001-6051-4925] | |
| dc.contributor.orcid | Pulgarín Rivera, Juan Diego [0000-0003-2326-7907] | |
| dc.creator.email | jsebastianam.120@gmail.com | |
| dc.creator.id | 20171007023 | |
| dc.date.accessioned | 2026-05-09T22:03:51Z | |
| dc.date.available | 2026-05-09T22:03:51Z | |
| dc.date.created | 2026-01-08 | |
| dc.description | Este artículo presenta un algoritmo innovador, denominado Algoritmo de Optimización Fraccional (FOA), que utiliza las propiedades de las funciones fraccionarias para mejorar la integración de sistemas fotovoltaicos (PV) y compensadores estáticos de distribución (D-STATCOM) en sistemas de distribución (DS). El FOA emplea un enfoque de codificación discreta-continua para determinar la ubicación y el dimensionamiento óptimos de los dispositivos PV y D-STATCOM. Se adopta un marco de optimización maestro-esclavo, donde el FOA opera en la etapa maestra y el método de aproximaciones sucesivas se utiliza para el análisis del flujo de potencia en la etapa esclava. La eficacia del algoritmo se prueba en redes de 33 y 69 barras, demostrando reducciones de costos significativas en comparación con enfoques de optimización tradicionales como el Algoritmo de Búsqueda de Vórtice (VSA) y el Algoritmo Seno-Coseno (SCA). Además, el FOA logra una eficiencia computacional superior, lo que subraya su potencial como estrategia de optimización. | |
| dc.description.abstract | This paper presents an innovative algorithm, termed the Fractional Optimization Algorithm (FOA), which utilizes the properties of fractional functions to enhance the integration of photovoltaic (PV) systems and distribution static compensators (D-STATCOMs) into distribution systems (DSs). The FOA employs a discrete-continuous encoding approach to determine the optimal placement and sizing of PV and D-STATCOM devices. A master-slave optimization framework is adopted, where the FOA operates in the master stage, and the successive approximations method is used for power flow analysis in the slave stage. The algorithm's efficacy is tested on 33- and 69-bus grids, demonstrating significant cost reductions over traditional optimization approaches such as the Vortex Search Algorithm (VSA) and the Sine-Cosine Algorithm (SCA). Furthermore, the FOA achieves superior computational efficiency, underscoring its promise as a robust optimization strategy. | |
| dc.format.mimetype | ||
| dc.identifier.uri | http://hdl.handle.net/11349/101315 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Distrital Francisco José de Caldas | |
| dc.relation.references | R.A. UFA, Y.Y. Malkova, V.E. Rudnik, M.V. Andreev, and V.A. Borisov. A review on distributed generation impacts on electric power system. International Journal of Hydrogen Energy, 47:20347–20361, June 2022 | |
| dc.relation.references | Mahmoud Pesaran H.A, Phung Dang Huy, and Vigna K. Ramachandaramurthy. A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms. Renewable and Sustainable Energy Reviews, 75:293–312, August 2017 | |
| dc.relation.references | Kola Sampangi Sambaiah. A review on optimal allocation and sizing techniques for dg in distribution systems. INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCHS, 8(3), September 2018 | |
| dc.relation.references | Oscar Danilo Montoya, Luis Fernando Grisales-Noreñaa, and Walter Gil-González. Simultaneous siting and sizing of pvs and dstatcoms in medium-voltage grids using the cauchy-based distribution optimizer. Results in Engineering, 25:104407, March 2025 | |
| dc.relation.references | Femke J. M. M. Nijsse, Jean-Francois Mercure, Nadia Ameli, Francesca Larosa, Sumit Kothari, Jamie Rickman, Pim Vercoulen, and Hector Pollitt. The momentum of the solar energy transition. Nature Communications, 14, October 2023 | |
| dc.relation.references | Luis Fernando Grisales-Noreña, Daniel Sanin-Villa, and Oscar Danilo Montoya. Optimal integration of pv generators and d-statcoms into the electrical distribution system to reduce the annual investment and operational cost: A multiverse optimization algorithm and matrix power flow approach. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 9:100747, September 2024 | |
| dc.relation.references | Oscar Danilo Montoya,Walter Gil-González, and Luis Fernando Grisales-Noreña. Optimal planning of photovoltaic and distribution static compensators in medium-voltage networks via the gndo approach. Results in Engineering, 23:102764, September 2024 | |
| dc.relation.references | Adriana Rincón-Miranda, Giselle Viviana Gantiva-Mora, and Oscar Danilo Montoya. Simultaneous integration of d-statcoms and pv sources in distribution networks to reduce annual investment and operating costs. Computation, 11(7), July 2023 | |
| dc.relation.references | S. Devi and M. Geethanjali. Optimal location and sizing determination of distributed generation and dstatcom using particle swarm optimization algorithm. International Journal of Electrical Power & Energy Systems, 62:562–570, November 2014 | |
| dc.relation.references | Pavlos S. Georgilakis and Nikos D. Hatziargyriou. Optimal distributed generation placement in power distribution networks: Models, methods, and future research. IEEE Transactions on Power Systems, 28:3420–3428, January 2013 | |
| dc.relation.references | Navid Razmjooy, Mohsen Ashourian, and Zahra Foroozandeh. Metaheuristics and Optimization in Computer and Electrical Engineering. Springer, 2021 | |
| dc.relation.references | Vivek Saxena, Saibal Manna, Saurabh Kumar Rajput, Praveen Kumar, Bhupender Sharma, Mohammed H. Alsharif, and Mun-Kyeom Kim. Navigating the complexities of distributed generation: Integration, challenges, and solutions. Energy Reports, 12:3302–3322, December 2024 | |
| dc.relation.references | Bindeshwar Singh and Janmejay Sharma. A review on distributed generation planning. Renewable and Sustainable Energy Reviews, 76:529–544, September 2017 | |
| dc.relation.references | Prisma Megantoro, Syahirah Abd Halim, Nor Azwan Mohamed Kamari, Lilik Jamilatul Awalin, Mohd Syukri Ali, and Hazwani Mohd Rosli. Optimizing reactive power dispatch with metaheuristic algorithms: A review of renewable distributed generation integration with intermittency considerations. Energy Reports, 13:397–423, June 2025 | |
| dc.relation.references | Samson Ademola Adegoke, Yanxia Sun, Adesola Sunday Adegoke, and Damilola Ojeniyl. Optimal placement of distributed generation to minimize power loss and improve voltage stability. Heliyon, 10:e39298, November 2024. | |
| dc.relation.references | Abdullah M. Shaheen, Abdullah Alassaf, Ibrahim Alsaleh, and A.M. Elsayed. Enhanced kepler optimization for efficient penetration of pv sources integrated with statcom devices in power distribution systems. Expert Systems with Applications, 253:124333, November 2024 | |
| dc.relation.references | Sandeep Gogula and V. S. Vakula. Multi-objective harris hawks optimization algorithm for selecting best location and size of distributed generation in radial distribution system. International Journal of Cognitive Computing in Engineering, 5:436–452, 2024 | |
| dc.relation.references | Mohammed Goda Eisa, Mohammed A. Farahat, Wael Abdelfattah, and Mohammed Elsayed Lotfy. Multi-objective optimal integration of distributed generators into distribution networks incorporated with plug-in electric vehicles using walrus optimization algorithm. sustainability, 16(22):9948, November 2024 | |
| dc.relation.references | Luis Fernando Grisales-Noreña, Daniel Sanin-Villa, and Oscar Danilo Montoya. Optimal integration of PV generators and DSTATCOMs into the electrical distribution system to reduce the annual investment and operational cost: A multiverse optimization algorithm and matrix power flow approach. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 9:100747, September 2024 | |
| dc.relation.references | Oscar Danilo Montoya, Carlos Alberto Ramírez-Vanegas, and Luis Fernando Grisales-Noreña. A sine-cosine algorithm approach for optimal pv and d-statcom integration in distribution systems. Statistics, Optimization & Information Computing, 13(3):1266–1279, November 2024 | |
| dc.relation.references | Oscar Danilo Montoya, Walter Gil-González, Rubén Iván Bolaños, Diego Fernando Muñoz-Torres, Jesús C. Hernández, and Luis Fernando Grisales-Noreña. Effective power coordination of besus in distribution grids via the sine-cosine algorithm. In 2024 IEEE Green Technologies Conference (GreenTech). IEEE, April 2024 | |
| dc.relation.references | Seyedali Mirjalili. SCA: A Sine Cosine Algorithm for solving optimization problems. Knowledge-Based Systems, 96:120–133, March 2016 | |
| dc.rights.acceso | Abierto (Texto Completo) | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Algoritmo de Optimización Fraccional | |
| dc.subject | Sistema fotovoltaico | |
| dc.subject | Compensador estático de distribución | |
| dc.subject | Análisis del flujo de potencia | |
| dc.subject | Sistemas de distribución | |
| dc.subject.keyword | Fractional Optimization Algorithm | |
| dc.subject.keyword | Photovoltaic system | |
| dc.subject.keyword | Distribution static sompensator | |
| dc.subject.keyword | Power flow analysis | |
| dc.subject.keyword | Distribution systems | |
| dc.subject.lemb | Ingeniería Electrónica -- Tesis y disertaciones académicas | |
| dc.subject.lemb | Sistemas de distribución de energía eléctrica — Optimización | |
| dc.subject.lemb | Generación de energía fotovoltaica | |
| dc.subject.lemb | Potencia reactiva — Control | |
| dc.title | Ubicación y dimensionamiento óptimos de generadores fotovoltaicos y compensadores estáticos de potencia reactiva en sistemas de distribución para la minimización del costo anual de compra de energía mediante el algoritmo de optimización fraccional | |
| dc.title.titleenglish | Optimal placement and sizing of photovoltaic generators and static reactive power compensators in distribution systems for minimizing the annual energy purchase cost using the fractional optimization algorithm | |
| dc.type | bachelorThesis | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.degree | Producción Académica | |
| dc.type.driver | info:eu-repo/semantics/bachelorThesis |
Archivos
Bloque de licencias
1 - 1 de 1
Cargando...
- Nombre:
- license.txt
- Tamaño:
- 7 KB
- Formato:
- Item-specific license agreed upon to submission
- Descripción:
