Control de oscilaciones electromecánicas en sistemas de energía eléctrica mediante plantas de generación eólica
ilustraciones, diagramas, resultados de simulaciones
- Autores:
-
Castrillón Franco, Maria Camila
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/84740
- Palabra clave:
- 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
530 - Física::537 - Electricidad y electrónica
Energía eólica
Recursos energéticos
Recursos energéticos renovables
Renewable energy sources
Wind power
Power resources
Energías renovables
Energía eólica
Estabilidad de pequeña señal,
Modos oscilatorios
Control LQG
Identificación basada en medidas
Sistemas de energía eléctrica.
Renewable energy
Wind energy
Small signal stability
Oscillatory modes
LQG control
Measurement-based identification
Electric power systems.
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional
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oai:repositorio.unal.edu.co:unal/84740 |
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Universidad Nacional de Colombia |
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|
dc.title.spa.fl_str_mv |
Control de oscilaciones electromecánicas en sistemas de energía eléctrica mediante plantas de generación eólica |
dc.title.translated.eng.fl_str_mv |
Control of electromechanical oscillations in electrical energy systems using wind turbine generation |
title |
Control de oscilaciones electromecánicas en sistemas de energía eléctrica mediante plantas de generación eólica |
spellingShingle |
Control de oscilaciones electromecánicas en sistemas de energía eléctrica mediante plantas de generación eólica 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 530 - Física::537 - Electricidad y electrónica Energía eólica Recursos energéticos Recursos energéticos renovables Renewable energy sources Wind power Power resources Energías renovables Energía eólica Estabilidad de pequeña señal, Modos oscilatorios Control LQG Identificación basada en medidas Sistemas de energía eléctrica. Renewable energy Wind energy Small signal stability Oscillatory modes LQG control Measurement-based identification Electric power systems. |
title_short |
Control de oscilaciones electromecánicas en sistemas de energía eléctrica mediante plantas de generación eólica |
title_full |
Control de oscilaciones electromecánicas en sistemas de energía eléctrica mediante plantas de generación eólica |
title_fullStr |
Control de oscilaciones electromecánicas en sistemas de energía eléctrica mediante plantas de generación eólica |
title_full_unstemmed |
Control de oscilaciones electromecánicas en sistemas de energía eléctrica mediante plantas de generación eólica |
title_sort |
Control de oscilaciones electromecánicas en sistemas de energía eléctrica mediante plantas de generación eólica |
dc.creator.fl_str_mv |
Castrillón Franco, Maria Camila |
dc.contributor.advisor.none.fl_str_mv |
Correa Gutiérrez, Rosa Elvira Arrieta Paternina, Mario Roberto |
dc.contributor.author.none.fl_str_mv |
Castrillón Franco, Maria Camila |
dc.contributor.researchgroup.spa.fl_str_mv |
Grupo de Investigación en Tecnologías Aplicadas Gita |
dc.subject.ddc.spa.fl_str_mv |
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 530 - Física::537 - Electricidad y electrónica |
topic |
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 530 - Física::537 - Electricidad y electrónica Energía eólica Recursos energéticos Recursos energéticos renovables Renewable energy sources Wind power Power resources Energías renovables Energía eólica Estabilidad de pequeña señal, Modos oscilatorios Control LQG Identificación basada en medidas Sistemas de energía eléctrica. Renewable energy Wind energy Small signal stability Oscillatory modes LQG control Measurement-based identification Electric power systems. |
dc.subject.lemb.spa.fl_str_mv |
Energía eólica Recursos energéticos Recursos energéticos renovables |
dc.subject.lemb.eng.fl_str_mv |
Renewable energy sources Wind power Power resources |
dc.subject.proposal.spa.fl_str_mv |
Energías renovables Energía eólica Estabilidad de pequeña señal, Modos oscilatorios Control LQG Identificación basada en medidas Sistemas de energía eléctrica. |
dc.subject.proposal.eng.fl_str_mv |
Renewable energy Wind energy Small signal stability Oscillatory modes LQG control Measurement-based identification Electric power systems. |
description |
ilustraciones, diagramas, resultados de simulaciones |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-10-02T19:23:01Z |
dc.date.available.none.fl_str_mv |
2023-10-02T19:23:01Z |
dc.date.issued.none.fl_str_mv |
2023-09-22 |
dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
status_str |
acceptedVersion |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/84740 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Nacional de Colombia |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Institucional Universidad Nacional de Colombia |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.unal.edu.co/ |
url |
https://repositorio.unal.edu.co/handle/unal/84740 https://repositorio.unal.edu.co/ |
identifier_str_mv |
Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.indexed.spa.fl_str_mv |
Bireme RedCol LaReferencia |
dc.relation.references.spa.fl_str_mv |
Abdollahi, M., Candela, J. I., Rocabert, J., Elsaharty, M. A., & Rodriguez, P. (2020). Novel Analytical Method for Dynamic Design of Renewable SSG SPC Unit to Mitigate Low-Frequency Electromechanical Oscillations. IEEE Transactions on Power Electronics, 35(7), 7532–7544. https://doi.org/10.1109/TPEL.2019.2956397 Araújo, J. A. V., & Cabré, M. M. (2023). Energía solar y eólica en Colombia: panorama y resumen de políticas 2022. https://doi.org/10.51414/SEI2023.016 Bagchi, S., Goswami, S., Bhaduri, R., Ganguly, M., & Roy, A. (2017). Small signal stability analysis and comparison with DFIG incorporated system using FACTS devices. 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016. https://doi.org/10.1109/ICPEICES.2016.7853294 Basit, M. A., Dilshad, S., Badar, R., & Sami ur Rehman, S. M. (2020). Limitations, challenges, and solution approaches in grid-connected renewable energy systems. In International Journal of Energy Research (Vol. 44, Issue 6, pp. 4132–4162). John Wiley and Sons Ltd. https://doi.org/10.1002/er.5033 Bhukya, J., & Mahajan, V. (2019). Optimization of damping controller for PSS and SSSC to improve stability of interconnected system with DFIG based wind farm. International Journal of Electrical Power and Energy Systems, 108(January), 314–335. https://doi.org/10.1016/j.ijepes.2019.01.017 Boukarim, G. E., Wang, S., Chow, J. H., Taranto, G. N., & Martins, N. (2000). A Comparison of Classical, Robust, and Decentralized Control Designs for Multiple Power System Stabilizers. In IEEE TRANSACTIONS ON POWER SYSTEMS (Vol. 15, Issue 4). Brunton, S. L., & Kutz, N. L. (2019). Data-Driven Science and Engineering. Cai, G., Chen, X., Sun, Z., Yang, D., Liu, C., & Li, H. (2019). A coordinated dual-channel wide area damping control strategy for a doubly-fed induction generator used for suppressing inter-area oscillation. Applied Sciences (Switzerland), 9(11). https://doi.org/10.3390/app9112353 Chow, J. H., Boukarim, G. E., & Murdoch, A. (2004). Power System Stabilizers as Undergraduate Control Design Projects. IEEE Transactions on Power Systems, 19(1), 144–151. https://doi.org/10.1109/TPWRS.2003.821003 Chow, J. H., & Cheung, K. W. (1992). A Toolbox for Power System Dynamics and Control Engineering Education and Research. In Transactions on Power Systems (Vol. 7, Issue 4). Chow, J. H., & Larsen E. V. (1987). SVC Control Design Concepts for System Dynamics Performance. IEEE Publication . Chow, J. H., & Sanchez‐Gasca, J. J. (2019). Power System Coherency and Model Reduction. In Power System Modeling, Computation, and Control. https://doi.org/10.1002/9781119546924.ch16 Chow, J. H., & Sanchez‐Gasca, J. J. (2020). Power system, modeling, computation and control (Wiley). John Wiley & Sons Ltd. Colombia presenta plan de expansión energética a largo plazo - BNamericas. (n.d.). Retrieved September 10, 2022, from https://www.bnamericas.com/es/noticias/colombia-presenta-plan-de-expansion-energetica-a-largo-plazo Darabian, M., Jabari, F., & Ahmad Khani, M. (2023). Optimal design and operation of damping controllers in PV–wind integrated sustainable energy grids considering system uncertainties. IET Renewable Power Generation. https://doi.org/10.1049/rpg2.12779 Elizondo, M. A., Fan, R., Kirkham, H., Ghosal, M., Wilches-Bernal, F., Schoenwald, D., & Lian, J. (2018). Interarea Oscillation Damping Control Using High-Voltage DC Transmission: A Survey. IEEE Transactions on Power Systems, 33(6), 6515–6923. https://doi.org/10.1109/TPWRS.2018.2832227 Ellis, A., Pourbeik, P., Sanchez-Gasca, J. J., Senthil, J., & Weber, J. (2015). Generic wind turbine generator models for WECC - A second status report. IEEE Power and Energy Society General Meeting, 2015-September. https://doi.org/10.1109/PESGM.2015.7285645 Fornasini, E., & Valcher, M. E. (2013). 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Enhancing oscillation damping in an interconnected power system with integrated wind farms using unified power flow controller. Energies, 12(2). https://doi.org/10.3390/en12020322 IEEE Power Engineering Society. (2006). IEEE Recommended Practice for Excitation System Models for Power System Stability Studies. IRENA. (2019). Future of Wind: Deployment, investment, technology, grid integration and socio-economic aspects. In International Renewable Energy Agency. www.irena.org/publications Isbeih, Y., Ghosh, S., Elmoursi, M., & El-Saadany, E. (2021). Online DMDc based model identification approach for transient stability enhancement using wide area measurements. IEEE Transactions on Power Systems, 36(5), 4884–4887. https://doi.org/10.1109/TPWRS.2021.3094331 Castrillón-Franco, C., Paternina, M. R. A., Reyes, F. E. R., Zamora-Mendez, A., Correa, R. E., & Ortiz-Bejar, J. (2023). Damping Control of Inter-area Oscillations Using non-conventional equipment. 2023 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2023).Accepted Izdebski, M., Małkowski, R., & Miller, P. (2022). New Performance Indices for Power System Stabilizers. Energies, 15(24). https://doi.org/10.3390/en15249582 Klein, M., Rogers, G. J., Moorty, S., Kundur, P., Hydro, O., & Toronto, C. (1992). Analytical Investigation of Factors Influencing Power System Stabilizers Performance. In IEEE Transactions on Energy Conversion (Vol. 7, Issue 3). Kundur, P. (1994). Power System Stability And Control. In McGraw-Hill, Inc (p. 1167). Lewis, M. (2023). Global installed wind power capacity just reached 1 TW | Electrek. https://electrek.co/2023/06/16/global-installed-wind-power-capacity/ Li, H., Liu, S., Ji, H., Yang, D., Yang, C., Chen, H., Zhao, B., Hu, Y., & Chen, Z. (2014). Damping control strategies of inter-area low-frequency oscillation for DFIG-based wind farms integrated into a power system. International Journal of Electrical Power and Energy Systems, 61, 279–287. https://doi.org/10.1016/j.ijepes.2014.03.009 Liao, K., Xu, Y., & Zhou, H. (2019). A robust damping controller for DFIG based on variable-gain sliding mode and Kalman filter disturbance observer. International Journal of Electrical Power and Energy Systems, 107(December 2018), 569–576. https://doi.org/10.1016/j.ijepes.2018.12.018 Mehta, B., Bhatt, P., & Pandya, V. (2014). Small signal stability analysis of power systems with DFIG based wind power penetration. International Journal of Electrical Power and Energy Systems, 58, 64–74. https://doi.org/10.1016/j.ijepes.2014.01.005 Miller, N. W., & Sanchez-gasca, J. J. (2008). Modeling of GE Wind Turbine-Generators for Grid Studies Prepared by : May. Mondal, D., Chakrabarti, A., & Sengupta, A. (2014). Optimal and Robust Control. In Power System Small Signal Stability Analysis and Control (pp. i–ii). Elsevier. https://doi.org/10.1016/b978-0-12-800572-9.09987-x Mondal, D., Chakrabarti, A., & Sengupta, A. (2020). Power System Small Signal Stability Analysis and Control. Nkosi, N. R., Bansal, R. C., Adefarati, T., Naidoo, R. M., & Bansal, S. K. (2023). A review of small-signal stability analysis of DFIG-based wind power system. International Journal of Modelling and Simulation, 43(3), 153–170. https://doi.org/10.1080/02286203.2022.2056951 Noori, A., Jafari Shahbazadeh, M., & Eslami, M. (2020). Designing of wide-area damping controller for stability improvement in a large-scale power system in presence of wind farms and SMES compensator. International Journal of Electrical Power and Energy Systems, 119. https://doi.org/10.1016/j.ijepes.2020.105936 Ogata, Katsuhiko. (2009). Ingeniería de Control Moderna. Pearson Educación. Padiyar K. R. (2008). Power system dynamics. www.mhm20.blogfa.com Paternina, M. R. 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IEEE Transactions on Control Systems Technology, 23(1), 27–36. https://doi.org/10.1109/TCST.2014.2311852 Yousefian, R., Bhattarai, R., & Kamalasadan, S. (2017). Transient Stability Enhancement of Power Grid with Integrated Wide Area Control of Wind Farms and Synchronous Generators. IEEE Transactions on Power Systems, 32(6), 4818–4831. https://doi.org/10.1109/TPWRS.2017.2676138 Zelaya Arrazabal, F. A. (2019). Identificación de modelos de sistemas de potencia basado en datos. Universidad Nacional Autonoma de Mexico. Zelaya, F. A., Chow, J. H., Paternina, M. R. A., & Zamora, A. (2020). Power system linear model selective identification by exploiting the Loewner interpolation method. IEEE Power and Energy Society General Meeting, 2020-August. https://doi.org/10.1109/PESGM41954.2020.9282088 Zhang, X., Lu, C., Liu, S., & Wang, X. (2016). A review on wide-area damping control to restrain inter-area low frequency oscillation for large-scale power systems with increasing renewable generation. Renewable and Sustainable Energy Reviews, 57, 45–58. https://doi.org/10.1016/j.rser.2015.12.167 Zhang, Z., & Zhao, X. (2022). Control of HVDC-Connected PMSG-Based Wind Turbines for Power System Oscillation Damping. 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2022. https://doi.org/10.1109/PEDG54999.2022.9923123 Zhao, Y., Zhu, L., Xiao, H., Liu, Y., Farantatos, E., Patel, M., Darvishi, A., & Fardanesh, B. (2019). An Adaptive Wide-Area Damping Controller via FACTS for the New York State Grid Using a Measurement-Driven Model. |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Universidad Nacional de Colombia |
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Medellín - Minas - Maestría en Ingeniería - Ingeniería Eléctrica |
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Facultad de Minas |
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Medellín, Colombia |
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Universidad Nacional de Colombia - Sede Medellín |
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Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Correa Gutiérrez, Rosa Elvira702c169730eb8c58b935d1bbd3805d74Arrieta Paternina, Mario Robertob43af681c7cb13651c21c5222a98ad36Castrillón Franco, Maria Camila89cf0d9606eda471a777202a64fd9302Grupo de Investigación en Tecnologías Aplicadas Gita2023-10-02T19:23:01Z2023-10-02T19:23:01Z2023-09-22https://repositorio.unal.edu.co/handle/unal/84740Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, diagramas, resultados de simulacionesCon la creciente incorporación de recursos renovables en la matriz energética, uno de los principales retos es determinar la afectación que tiene este tipo de generación, basados principalmente en conversores, en la estabilidad dinámica de los sistemas eléctricos de potencia, siendo necesario determinar los sistemas de control adicionales que se deben incorporar en esta tecnología para mantener las principales variables eléctricas dentro del rango de operación establecido. En esta investigación se presenta el diseño de un Control Linear Cuadrático Gaussiano, LQG, implementado en el lazo de control de potencia reactiva de los generadores eólicos, para amortiguar modos oscilatorios inter-área en sistemas eléctricos de potencia. Para ello, primero se obtiene el modelo lineal del sistema eléctrico de potencia, inicialmente a través de la linealización con análisis de pequeña señal y luego con el método de identificación Loewner basado en mediciones. Después de sintonizar el control, se incorpora y se analiza su comportamiento e influencia en el amortiguamiento de los modos oscilatorios, utilizando como herramienta la gráfica del lugar geométrico de las raíces. Por último, se prueba el desempeño del controlador a través de simulación transitoria sobre el modelo no lineal de dos sistemas de prueba, que presentan diferentes modos oscilatorios, donde se demuestra que el control a través de aerogeneradores permite amortiguar los modos inter-área del sistema. (Texto tomado de la fuente)With the increasing incorporation of renewable resources in the energy matrix, one of the main challenges is to determine the effect that this type of generation, mainly based on converters, has on the dynamic stability of the electrical power systems, being necessary to determine the additional control systems that must be incorporated in this technology to maintain the main electrical variables within the established operating range. This research presents the design of a Linear Quadratic Gaussian Control, LQG, implemented in the reactive power control loop of wind generators, to damp inter-area oscillatory modes in electric power systems. For this purpose, first the linear model of the electrical power system is obtained, initially through linearization with small-signal analysis and then with the measurement-based Loewner identification method. After tuning the control, its behavior and influence on the damping of the oscillatory modes is incorporated and analyzed, using the root locus plot as a tool. Finally, the performance of the controller is tested through transient simulation on the nonlinear model of two test systems, which present different oscillatory modes, where it is demonstrated that the control through wind turbines allows damping the inter-area modes of the system.Contiene resultados de simulacionesMaestríaMagíster en Ingeniería - Ingeniería EléctricaAnálisis, operación y control en sistemas de energía eléctricaÁrea Curricular de Ingeniería Eléctrica e Ingeniería de Control118 páginasapplication/pdfspaUniversidad Nacional de ColombiaMedellín - Minas - Maestría en Ingeniería - Ingeniería EléctricaFacultad de MinasMedellín, ColombiaUniversidad Nacional de Colombia - Sede Medellín620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería530 - Física::537 - Electricidad y electrónicaEnergía eólicaRecursos energéticosRecursos energéticos renovablesRenewable energy sourcesWind powerPower resourcesEnergías renovablesEnergía eólicaEstabilidad de pequeña señal,Modos oscilatoriosControl LQGIdentificación basada en medidasSistemas de energía eléctrica.Renewable energyWind energySmall signal stabilityOscillatory modesLQG controlMeasurement-based identificationElectric power systems.Control de oscilaciones electromecánicas en sistemas de energía eléctrica mediante plantas de generación eólicaControl of electromechanical oscillations in electrical energy systems using wind turbine generationTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMBiremeRedColLaReferenciaAbdollahi, M., Candela, J. 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An Adaptive Wide-Area Damping Controller via FACTS for the New York State Grid Using a Measurement-Driven Model.EstudiantesInvestigadoresTHUMBNAIL1047996682.2023.pdf.jpg1047996682.2023.pdf.jpgGenerated Thumbnailimage/jpeg4619https://repositorio.unal.edu.co/bitstream/unal/84740/3/1047996682.2023.pdf.jpgf47bb307901c38eced36802594ba7f28MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/84740/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1047996682.2023.pdf1047996682.2023.pdfTesis de Maestría en Ingeniería Eléctricaapplication/pdf4848205https://repositorio.unal.edu.co/bitstream/unal/84740/2/1047996682.2023.pdf37d6c286b48a3224ccbcb459ff68d01aMD52unal/84740oai:repositorio.unal.edu.co:unal/847402023-10-02 23:03:41.569Repositorio Institucional Universidad Nacional de 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