Incorporation of batteries in reliability assessment of power systems

The integration of Battery Energy Storage Systems (BESS) was examined to assess its impact on the reliability of modern power systems. Given the fluctuations in power generation and consumer demand, BESS serves as a crucial solution for energy storage. The analysis used simulations using the IEEE Re...

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Autores:
Méndez Melo, Julián Andrés
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2025
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/75619
Acceso en línea:
https://hdl.handle.net/1992/75619
Palabra clave:
Battery energy storage systems
Transmission line congestion
IEEE RTS 24-bus system
Reliability analysis
Sistemas de almacenamiento de energía en baterías
Análisis de confiabilidad
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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dc.title.eng.fl_str_mv Incorporation of batteries in reliability assessment of power systems
dc.title.alternative.eng.fl_str_mv Integrating modern energy storage technologies in power system reliability
title Incorporation of batteries in reliability assessment of power systems
spellingShingle Incorporation of batteries in reliability assessment of power systems
Battery energy storage systems
Transmission line congestion
IEEE RTS 24-bus system
Reliability analysis
Sistemas de almacenamiento de energía en baterías
Análisis de confiabilidad
Ingeniería
title_short Incorporation of batteries in reliability assessment of power systems
title_full Incorporation of batteries in reliability assessment of power systems
title_fullStr Incorporation of batteries in reliability assessment of power systems
title_full_unstemmed Incorporation of batteries in reliability assessment of power systems
title_sort Incorporation of batteries in reliability assessment of power systems
dc.creator.fl_str_mv Méndez Melo, Julián Andrés
dc.contributor.advisor.none.fl_str_mv Ríos Mesías, Mario Alberto
dc.contributor.author.none.fl_str_mv Méndez Melo, Julián Andrés
dc.contributor.jury.none.fl_str_mv De Oliveira De Jesus, Paulo Manuel
dc.subject.keyword.eng.fl_str_mv Battery energy storage systems
Transmission line congestion
IEEE RTS 24-bus system
Reliability analysis
topic Battery energy storage systems
Transmission line congestion
IEEE RTS 24-bus system
Reliability analysis
Sistemas de almacenamiento de energía en baterías
Análisis de confiabilidad
Ingeniería
dc.subject.keyword.spa.fl_str_mv Sistemas de almacenamiento de energía en baterías
Análisis de confiabilidad
dc.subject.themes.spa.fl_str_mv Ingeniería
description The integration of Battery Energy Storage Systems (BESS) was examined to assess its impact on the reliability of modern power systems. Given the fluctuations in power generation and consumer demand, BESS serves as a crucial solution for energy storage. The analysis used simulations using the IEEE Reliability Test System and DIgSILENT PowerFactory to compare scenarios with and without the incorporation of BESS. The study found that BESS significantly enhances reliability indices, improves load flow characteristics, and yields positive economic outcomes. In particular, BESS effectively mitigates transmission line congestion and reduces the impact of outages, thus playing a critical role in reinforcing power system stability.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-01-23T18:53:01Z
dc.date.available.none.fl_str_mv 2025-01-23T18:53:01Z
dc.date.issued.none.fl_str_mv 2025-01-20
dc.type.none.fl_str_mv Trabajo de grado - Pregrado
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
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url https://hdl.handle.net/1992/75619
identifier_str_mv instname:Universidad de los Andes
reponame:Repositorio Institucional Séneca
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dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.none.fl_str_mv Área de Planificación Técnica, Subgerencia de Planificación e Ingeniería, Gerencia Técnica. (2005, Enero). Manual digsilent: Evaluación de confiabilidad [Manual de Evaluación de Confiabilidad con DIgSILENT]. Chilectra.
Asian Development Bank. (2018, December). Handbook on battery energy storage system [Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO)]. https://doi.org/10.22617/TCS189791-2.
Barsali, S., & Ceraolo, M. (2002). Dynamical models of lead-acid batteries: Implementation issues. IEEE Transactions on energy conversion, 17 (1), 16–23.
Billinton, R., Oteng-Adjei, J., & Ghajar, R. (1987). Comparison of two alternate methods to establish an interrupted energy assessment rate. IEEE Transactions on Power Systems, 2 (3), 751–757.
Billinton, R., et al. (2005). Incorporating well-being considerations in generating systems using energy storage. IEEE Transactions on Energy Conversion, 20 (1), 225–230.
Ceraolo, M. (2000). New dynamical models of lead-acid batteries. IEEE transactions on Power Systems, 15 (4), 1184–1190.
Comisión de Regulación de Energía y Gas - CREG. (2022). Análisis de la utilización de diferentes tipos de sistemas de almacenamiento de energía eléctrica (Informe Técnico No. IEB 1037-22-01). Instituto de Estudios Básicos de Ingeniería de Medellín. Medellín, Colombia.
Comisión de Regulación de Energía y Gas Inc. (1995). Resolución 25 de 1995.
Divya, K. C., & Østergaard, J. (2009). Battery energy storage technology for power systems—an overview. Electric power systems research, 79 (4), 511–520.
Hussien, Z., Ismail, A., Lee, W., Busrah, A., & Siam, M. (2005). Voltage sag mitigation using nas battery-based standby power supply. 2005 International Conference on Power Electronics and Drives Systems, 2, 1317–1321.
Medora, N. K., & Kusko, A. (2005). Dynamic battery modeling of lead-acid batteries using manufacturers’ data. INTELEC 05-Twenty-Seventh International Telecommunications Conference, 227–232.
RTS Task Force. (1979). Ieee reliability test system. IEEE Trans. on PAS, 98 (6), 2047–2054.
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dc.publisher.none.fl_str_mv Universidad de los Andes
dc.publisher.program.none.fl_str_mv Ingeniería Eléctrica
dc.publisher.faculty.none.fl_str_mv Facultad de Ingeniería
dc.publisher.department.none.fl_str_mv Departamento de Ingeniería Eléctrica y Electrónica
publisher.none.fl_str_mv Universidad de los Andes
institution Universidad de los Andes
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spelling Ríos Mesías, Mario Albertovirtual::22417-1Méndez Melo, Julián AndrésDe Oliveira De Jesus, Paulo Manuelvirtual::22418-12025-01-23T18:53:01Z2025-01-23T18:53:01Z2025-01-20https://hdl.handle.net/1992/75619instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/The integration of Battery Energy Storage Systems (BESS) was examined to assess its impact on the reliability of modern power systems. Given the fluctuations in power generation and consumer demand, BESS serves as a crucial solution for energy storage. The analysis used simulations using the IEEE Reliability Test System and DIgSILENT PowerFactory to compare scenarios with and without the incorporation of BESS. The study found that BESS significantly enhances reliability indices, improves load flow characteristics, and yields positive economic outcomes. In particular, BESS effectively mitigates transmission line congestion and reduces the impact of outages, thus playing a critical role in reinforcing power system stability.Pregrado59 páginasapplication/pdfengUniversidad de los AndesIngeniería EléctricaFacultad de IngenieríaDepartamento de Ingeniería Eléctrica y Electrónicahttps://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Incorporation of batteries in reliability assessment of power systemsIntegrating modern energy storage technologies in power system reliabilityTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPBattery energy storage systemsTransmission line congestionIEEE RTS 24-bus systemReliability analysisSistemas de almacenamiento de energía en bateríasAnálisis de confiabilidadIngenieríaÁrea de Planificación Técnica, Subgerencia de Planificación e Ingeniería, Gerencia Técnica. (2005, Enero). Manual digsilent: Evaluación de confiabilidad [Manual de Evaluación de Confiabilidad con DIgSILENT]. Chilectra.Asian Development Bank. (2018, December). Handbook on battery energy storage system [Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO)]. https://doi.org/10.22617/TCS189791-2.Barsali, S., & Ceraolo, M. (2002). Dynamical models of lead-acid batteries: Implementation issues. IEEE Transactions on energy conversion, 17 (1), 16–23.Billinton, R., Oteng-Adjei, J., & Ghajar, R. (1987). Comparison of two alternate methods to establish an interrupted energy assessment rate. IEEE Transactions on Power Systems, 2 (3), 751–757.Billinton, R., et al. (2005). Incorporating well-being considerations in generating systems using energy storage. IEEE Transactions on Energy Conversion, 20 (1), 225–230.Ceraolo, M. (2000). New dynamical models of lead-acid batteries. IEEE transactions on Power Systems, 15 (4), 1184–1190.Comisión de Regulación de Energía y Gas - CREG. (2022). Análisis de la utilización de diferentes tipos de sistemas de almacenamiento de energía eléctrica (Informe Técnico No. IEB 1037-22-01). Instituto de Estudios Básicos de Ingeniería de Medellín. Medellín, Colombia.Comisión de Regulación de Energía y Gas Inc. (1995). Resolución 25 de 1995.Divya, K. C., & Østergaard, J. (2009). Battery energy storage technology for power systems—an overview. Electric power systems research, 79 (4), 511–520.Hussien, Z., Ismail, A., Lee, W., Busrah, A., & Siam, M. (2005). Voltage sag mitigation using nas battery-based standby power supply. 2005 International Conference on Power Electronics and Drives Systems, 2, 1317–1321.Medora, N. K., & Kusko, A. (2005). Dynamic battery modeling of lead-acid batteries using manufacturers’ data. INTELEC 05-Twenty-Seventh International Telecommunications Conference, 227–232.RTS Task Force. (1979). Ieee reliability test system. 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