Decentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generation

diagramas, ilustraciones a color, tablas

Autores:: Dorado Rojas, Sergio Andrés

Tipo de recurso:

Fecha de publicación:: 2021

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: eng

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dc.title.eng.fl_str_mv	Decentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generation
dc.title.translated.spa.fl_str_mv	Control de frecuencia descentralizado para un sistema de potencia con alta penetración de generación eólica y solar fotovoltaica
title	Decentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generation
spellingShingle	Decentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generation 620 - Ingeniería y operaciones afines Control de frecuencia Control de rechazo activo de perturbaciones Control automático de generación Control de frecuencia de carga Frequency control Active disturbance rejection control Automatic generation control Load frequency control Energía eólica Wind power Fuente de energía renovable Renewable energy sources
title_short	Decentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generation
title_full	Decentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generation
title_fullStr	Decentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generation
title_full_unstemmed	Decentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generation
title_sort	Decentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generation
dc.creator.fl_str_mv	Dorado Rojas, Sergio Andrés
dc.contributor.advisor.none.fl_str_mv	Rivera Rodríguez, Sergio Raúl Mojica Nava, Eduardo
dc.contributor.author.none.fl_str_mv	Dorado Rojas, Sergio Andrés
dc.contributor.researchgroup.spa.fl_str_mv	Grupo de Investigación EMC-UN
dc.subject.ddc.spa.fl_str_mv	620 - Ingeniería y operaciones afines
topic	620 - Ingeniería y operaciones afines Control de frecuencia Control de rechazo activo de perturbaciones Control automático de generación Control de frecuencia de carga Frequency control Active disturbance rejection control Automatic generation control Load frequency control Energía eólica Wind power Fuente de energía renovable Renewable energy sources
dc.subject.proposal.spa.fl_str_mv	Control de frecuencia Control de rechazo activo de perturbaciones Control automático de generación Control de frecuencia de carga
dc.subject.proposal.eng.fl_str_mv	Frequency control Active disturbance rejection control Automatic generation control Load frequency control
dc.subject.unesco.none.fl_str_mv	Energía eólica Wind power Fuente de energía renovable Renewable energy sources
description	diagramas, ilustraciones a color, tablas
publishDate	2021
dc.date.accessioned.none.fl_str_mv	2021-05-31T20:52:16Z
dc.date.available.none.fl_str_mv	2021-05-31T20:52:16Z
dc.date.issued.none.fl_str_mv	2021-05-31
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/79578
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/79578 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	eng
language	eng
dc.relation.references.spa.fl_str_mv	Ali, R., Qudaih, Y. S., Mitani, Y. & Mohamed, T. H. (2013). A Robust Load Frequency Control of Power System with fluctuation of renewable energy sources, 20-23. Anderson, G. (2012). Dynamics and Control of Electric Power Systems. Swiss Federal Institute of Technology (ETH) Zurich. Apostolopoulou, D., Domínguez-garcía, A. D., Sauer, P. W. & Fellow, L. (2015). An Assessment of the Impact of Uncertainty on Automatic Generation Control Systems. 31(4), 1-9. Attya, A. B., Dominguez-garcia, J. L. & Anaya-lara, O. (2018. A review on frequency support provision by wind power plants : Current and future challenges. Renewable and Sustainable Energy Reviews, & (June 2016), 2071-2087. https://doi.org/10.1016/j.rser.2017.06.016 Aziz, A., Than, A. & Stojcevski, A. (2017). Frequency regulation capabilities in wind power plant. Sustainable Energy Technologies and Assessments, (October). https://doi.org/10.1016/j.seta.2017.10.002 Aziz, A., Than, A. & Stojcevski, A. (2018). Analysis of frequency sensitive wind plant penetration effect on load frequency control of hybrid power system. Electrical Power and Energy Systems, 99 (January), 603-617. https://do1.org/10.1016/j.ijepes.2018.01.045 Badihi, H., Zhang, Y. & Hong, H. (2015). Active power control design for supporting grid frequency regulation in wind farms. Annual Reviews in Control, 40, 70-81. https://doi.org/10.1016/j.arcontrol. 2015.09.005 Baudette, M., Castro, M., Rabuzin, T., Lavenius, J., Bogodorova, T. & Vanfretti, L. (2018). OpenIPSL: Open- Instance Power System Library - Update 1.5 to ¡Tesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations. SoftwareX, 7, 34-36. https://doi.org/10.1016/j.softx.2018. 01.002 3evrani, H. (2014). Robust Power System. Frequency Control (and ed.). Springer. https://doi.org/10.1007/978-0- 387-84878-5 Bevrani, H., Daneshfar, F. & Hiyama, T. (2012). A new intelligent agent-based AGC design with real-time application. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 42(6), 994-1002. https://doi.org/10.1109/TSMCC.2011.2175916 3evrani, H. & Hiyama, T. (2011). Intelligent Automatic Generation Control. CC Press. https://doi.org/9781439849545 Bevrani, H., Mitani, Y. & Tsuji, K. (2004). Robust LFC Design Using Mixed Hz - Hinf Technique. International Conference on Electrical Engineering. Bijami, E. & Farsangi, M. M. (2017). Networked distributed automatic generation control of power system with dynamic participation of wind turbines through uncertain delayed communication network. IT Renewable Power Generation, 11(8), 1254-1269. https://doi.org/10.1049/iet-rpg.2016.0508 Chang-Chien, L. R. Sun, C. C. & Yeh, Y. J. (2014). Modeling of wind farm participation in AGC. IEEE Transactions on Power Systems, 29(3), 1204-1211. https://doi.org/10.1109/TPWRS.2013.2291397 Chow, J. H. & Sanchez-Gasca, J. J. (2020). Power System Modeling, Computation and Control. Wiley-IEEE. Coleman, C. (1965). Local Trajectory Equivalence of Differential Systems. Proceedings of the Americal Mathematical Society, 16(5), 890-892. Conte, C., Jones, C. N., Morari, M. & Zeilinger, M. N. (2016). Distributed synthesis and stability of cooperative distributed model predictive control for linear systems. Automatica, 69, 117-125. https://doi.org/10. 1016/j.automatica.2016.02.009 Das, D., Aditya, S. & Kothari, D. (1999). Dynamics of diesel and wind turbine generators on an isolated power system. International Journal of Electrical Power & Energy Systems, 22(3), 183-189. https://doi.org/10. 1016/S0142-0615(98)00033-7 Datta, A., Bhattacharjee, K., S. Debbarma, S. & Kar, B. (2015). Load Frequency Control of a Renewable Energy Sources based Hybrid System, 34-38. de Alegría, I. M., Andreu, J., Martín, J. L., Ibañez, P., Villate, J. L. & Camblong, H. (2007). Connection requirements for wind farms: A survey on technical requirements and regulation. 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International Journal of Control, 85(8), 1162-1177. https://doi.org/10.1080/00207179.2012.679972 Hydro-Québec. (2005). Technical requirements for the connection of generation facilities to the Hydro-Québec transmission system: Supplementary requirements for wind generation. Jayaweera, D. (2016). Smart Power Systems and Renewable Energy System Integration (D. Jayaweera, Ed.; Vol. 57). Springer International Publishing. https://doi.org/10.1007/978-3-319-30427-4 Kim, H., Zhu, M. & Lian, J. (2017). Distributed Robust Adaptive Frequency Control of Power Systems with Dynamic Loads. IEEE Transactions m Automatic Control, 1-10. Klein, N. (2015). This Changes Everything: Capitalism vs. The Climate. Simon & Schuster. Kundur, P., Paserba, J., Ajarapu, V., Anderson, G., Bose, A., Canizares, C., Hatziargyriou, N., Hill, D. R., Stankovic, A., Taylor, C., Van Cutsem, T. & Vittal, V. (2004). Definition and Classification of Power System Stability IEEE/CIGRE Joint Task Force on Stability Terms and Definitions. IEEE Transactions on Power Systems, 19(3), 1387-1401. https://doi.org/10.1109/TPWRS.2004.825981 Kundur, P. (1994). Power system stability and control. McGraw-Hill. Lalor, G., Mullane, A. & O'Malley, M. (2005). Frequency control and wind turbine technologies. IEEE Transactions on Power Systems, 20(4), 1905-1913. https://dol.org/10.1109/TPWRS.2005.857393 Li, P., Hu, W., Hu, R., Huang, Q., Yao, J. & Chen, Z. (2017). Strategy for wind power plant contribution to frequency control under variable wind speed. Renewable Energy, 1-11. https://doi.org/10.1016/j. renene.2017.12.046 Li, Z. & Duan, Z. (2015). Cooperative Control of Multi-Agent Systems: A Consensus Region Approach. CRC Press. Liu, F., Li, Y., Cao, Y., She, J. & Wu, M. (2016). A Two-Layer Active Disturbance Rejection Controller Design for Load Frequency Control of Interconnected Power System. 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Decentralized model predictive based load frequency control in an interconnected power system. Energy Conversion and Management, 52(2), 1208-1214. https://doi.org/10.1016/j.enconman.2010.09.016 Morris, C. & Jungjohann, A. (2016). Energy Democracy - Germany's Energiewende to Renewables. Palgrave Macmillan. https://doi.org/10.1007/978-3-319-31891-2 Nanou, S. I., Papakonstantinou, A. G. & Papathanassiou, S. A. (2015). A generic model of two-stage grid- connected PV systems with primary frequency response and inertia emulation. Electric Power Systems Research, 127, 186-196. https://doi.org/10.1016/j.epsr.2015.06.011 Pandey, S. K., Mohanty, S. R. & Kishor, N. (2013). A literature survey on load-frequency control for conven- tional and distribution generation power systems. Renewable and Sustainable Energy Reviews, 25, 318-334. https://doi.org/10.1016/j.rser.2013.04.029 Pradeepthi Pavani, A. & Abhilash, T. (2017). Multi Area Load Frequency Control of Power System Involving Renewable And Non-Renewable Energy Sources. International Conference on Innovations in Power and Advanced Computing Technologies, 1-5. Rawat, S., Bhola, J., Panda, M. K. & Rath, B. (2016). Load Frequency control of a Renewable Hybrid Power System with Simple Fuzzy Logic controller, 918-923. REN. (2019). Renewable Now (REN.net). ren21.net/reports/global-status-report/ Rinke, T. B. (2011). MPC-based Frequency Regulation and Inertia Mimicking for Improved Grid Integration of Renewable Energy Sources (Doctoral dissertation). Swiss Federal Institute of Technology (ETH) Zurich and Ruhr-Universität Bochum. Rodríguez-Amenedo, J. L., Arnalte, S. & Burgos, J. C. (2002). Automatic generation control of a wind farm with variable speed. Energy Conversion, IEEE Transactions on, 17(2), 279-284. https://doi.org/10.1109/ TEC.2002.1009481 Saadat, H. (1999). Power Systems Analysis (1st). McGraw-Hill. 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Zheng, Y., Zhou, J., Xu, Y., Zhang, Y. & Qian, Z. (2017). A distributed model predictive control based load frequency control scheme for multi-area interconnected power system using discrete-time Laguerre functions. ISA Transactions, 68, 127-140. https://doi.org/10.1016/j.isatra.2017.03.009 Zheng, Y., Li, S. & Li, N. (2011). Distributed model predictive control over network information exchange for large-scale systems. Control Engineering Practice, 19(7), 757-769. https://doi.org/10.1016/j.conengprac. 2011.04.003
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rights_invalid_str_mv	Atribución-NoComercial-SinDerivadas 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2
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dc.format.extent.spa.fl_str_mv	1 recurso en línea (144 páginas)
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dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv	Bogotá - Ingeniería - Maestría en Ingeniería - Automatización Industrial
dc.publisher.department.spa.fl_str_mv	Departamento de Ingeniería Eléctrica y Electrónica
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ingeniería
dc.publisher.place.spa.fl_str_mv	Bogotá
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Bogotá
institution	Universidad Nacional de Colombia
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spelling	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_abf2Rivera Rodríguez, Sergio Raúlebc09c48c256e8bad61b48321e3a32c5Mojica Nava, Eduardoe4a1a8ad2ab3b2c45a8785177a841de1600Dorado Rojas, Sergio Andrés6eb7acb9f23699a393bb37da9255b89eGrupo de Investigación EMC-UN2021-05-31T20:52:16Z2021-05-31T20:52:16Z2021-05-31https://repositorio.unal.edu.co/handle/unal/79578Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/diagramas, ilustraciones a color, tablasNon-conventional renewable energies represent a significant challenge for electric grids due to the technicalities associated with their implementation. Integration of such energy sources requires revisiting the grid structure and operation paradigm. The most relevant difficulty is that such a transformation must be carried out while keeping the system operational. In a conventional power system, synchronous machines are widely used as traditional electricity generators. These rotating machines store kinetic energy in their rotors. Rotor kinetic energy can be released or captured to compensate for load or generation disturbances, thus keeping the system's frequency constant (inertia characteristic). Large-scale renewable integration reduces the grid's inertia significantly since they interface to the network through inertia-less power converters. Several control strategies have been proposed to enhance the inertia capability of renewable generation units such as solar photovoltaic plants or wind turbines. However, this control loop does not guarantee frequency restoration to the nominal value. For this reason, it is critical to consider a secondary control loop to drive the frequency back to the desired steady-state operating condition. This work considers a system with high penetration of solar photovoltaic and wind energy. The main objective is to evaluate a decentralized linear controller's performance for a secondary control loop with the active contribution of renewable units. The resulting controller is benchmarked against conventional alternatives such as a linear quadratic regulator. The document focuses mostly on designing a secondary load frequency controller under the active disturbance rejection paradigm using a linear technique such as an extended-state observer.Las energías renovables no convencionales suponen un gran desafío para los sistemas eléctricos dadas las dificultades técnicas que conlleva su implementación en la red existente. La incorporación de estas fuentes de generación obliga a una transformación total de la red y a un cambio de paradigma en su operación. La dificultad más grande, empero, es que dicho proceso debe llevarse a cabo sin interrumpir el funcionamiento del sistema. En una red eléctrica tradicional, los generadores sincrónicos se utilizan ampliamiente como unidades convencionales de generación de electricidad. Estas máquinas rotativas están en la capacidad de almacenar energía cinética en sus rotores, la cual pueden entregar al sistema para recobrar el balance que conduzca la frecuencia a un valor estable luego de la ocurrencia de una perturbación de carga o generación. Esto se conoce como capacidad de inercia. La integración de renovables a gran escala disminuye la capacidad de inercia de la red, ya que gran parte de las unidades de generación eólica y solar fotovoltaica se conectan al sistema mediante convertidores de electrónica de potencia. En la actualidad se han desarrollado distintas estrategias de control para proveer de capacidad de inercia a los generadores eólicos y solares fotovoltaicos. No obstante, este lazo por sí mismo no garantiza que la frecuencia de operación del sistema vaya a retornar a su valor nominal, ya que solo se encarga de estabilizar el valor de la frecuencia después de una perturbación. Por ello, es importante la consideración de un lazo de control secundario capaz de reestablecer la frecuencia a su valor nominal. Por todo lo anterior, este trabajo se enmarca en un escenario de alta penetración de generación eólica y solar fotovoltaica en un sistema de potencia. El principal propósito de esta investigación es evaluar el desempeño de un controlador descentralizado lineal en un lazo secundario de frecuencia con la participación de generadores eólicos y solar fotovoltaicos en comparación con una arquitectura basada en compensadores tradicionales como el LQR. El documento se centra en el diseño de un controlador secundario de frecuencia bajo el paradigma del rechazo activo de perturbaciones utilizando una técnica lineal como el observador de estado extendido.MaestríaMagíster en Ingeniería - Automatización IndustrialControl de frecuencia en sistemas de potencia1 recurso en línea (144 páginas)application/pdfengUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Automatización IndustrialDepartamento de Ingeniería Eléctrica y ElectrónicaFacultad de IngenieríaBogotáUniversidad Nacional de Colombia - Sede Bogotá620 - Ingeniería y operaciones afinesControl de frecuenciaControl de rechazo activo de perturbacionesControl automático de generaciónControl de frecuencia de cargaFrequency controlActive disturbance rejection controlAutomatic generation controlLoad frequency controlEnergía eólicaWind powerFuente de energía renovableRenewable energy sourcesDecentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generationControl de frecuencia descentralizado para un sistema de potencia con alta penetración de generación eólica y solar fotovoltaicaTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAli, R., Qudaih, Y. 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Control Engineering Practice, 19(7), 757-769. https://doi.org/10.1016/j.conengprac. 2011.04.003LICENSElicense.txtlicense.txttext/plain; charset=utf-83964https://repositorio.unal.edu.co/bitstream/unal/79578/1/license.txtcccfe52f796b7c63423298c2d3365fc6MD51ORIGINAL1020775885.2021.pdf1020775885.2021.pdfTesis de Maestría en Ingeniería - Automatización Industrialapplication/pdf7465905https://repositorio.unal.edu.co/bitstream/unal/79578/2/1020775885.2021.pdf0cd33e96e98ec9fa664e629bbcee3d8bMD52CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.unal.edu.co/bitstream/unal/79578/3/license_rdf4460e5956bc1d1639be9ae6146a50347MD53THUMBNAIL1020775885.2021.pdf.jpg1020775885.2021.pdf.jpgGenerated Thumbnailimage/jpeg4493https://repositorio.unal.edu.co/bitstream/unal/79578/4/1020775885.2021.pdf.jpg8c6c781430b3df6521d46b9dcbd7b014MD54unal/79578oai:repositorio.unal.edu.co:unal/795782023-07-20 23:03:57.622Repositorio Institucional Universidad Nacional de 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Decentralized load frequency control for a power system with high penetration of wind and solar photovoltaic generation

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