Contributions to variable renewable energy systems simulation, design, and integration under uncertainty and stochasticity

This dissertation presents the development of a novel simulation methodology for solar irradiance and air temperature time series as well as the integration of optimal control and machine learning methodologies to support the decision-making process of DERs (i.e. operative decisions) as well as the...

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Autores:
Ramírez Arias, Andrés Felipe
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2021
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
spa
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/55844
Acceso en línea:
http://hdl.handle.net/1992/55844
Palabra clave:
Simulación
Irradiancia solar
Temperatura del aire
Control
Aprendizaje automático
Toma de decisiones
Sistemas de energía renovable
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Valencia Arboleda, Carlos Felipevirtual::9836-1Ramírez Arias, Andrés Felipe56d94abd-d8eb-464c-b6e8-e8c8fe103397500Cadena Monroy, Ángela InésLamadrid, Alberto J.Cabrales Arévalo, Sergio Andrés2022-02-22T20:17:00Z2022-02-22T20:17:00Z2021http://hdl.handle.net/1992/5584410.57784/1992/5584425469.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/This dissertation presents the development of a novel simulation methodology for solar irradiance and air temperature time series as well as the integration of optimal control and machine learning methodologies to support the decision-making process of DERs (i.e. operative decisions) as well as the decisions taken in the transmission network (i.e. investment and planing decisions). For instance DERs, such as virtual power plants (VPPs), participate in the aggregated market to provide services (i.e. Complementary services, flexibility services to guarantee the energy supply, among others.) to the electricity system, particularly when there is a lack of diversification or the system is heavily invested in non-renewable energy sources.Esta disertación presenta el desarrollo de una metodología de simulación novedosa para series de tiempo de irradiancia solar y temperatura del aire, así como la integración de metodologías óptimas de control y aprendizaje automático para apoyar el proceso de toma de decisiones de DER (es decir, decisiones operativas), así como las decisiones tomadas. en la red de transmisión (es decir, decisiones de inversión y planificación). Por ejemplo, los DER, como las plantas de energía virtual (VPP), participan en el mercado agregado para brindar servicios (es decir, servicios complementarios, servicios de flexibilidad para garantizar el suministro de energía, entre otros) al sistema eléctrico, particularmente cuando hay una falta de diversificación o el sistema está fuertemente invertido en fuentes de energía no renovables.Doctor en IngenieríaDoctorado111 páginasapplication/pdfspaUniversidad de los AndesDoctorado en IngenieríaFacultad de IngenieríaContributions to variable renewable energy systems simulation, design, and integration under uncertainty and stochasticityTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttp://purl.org/redcol/resource_type/TDSimulaciónIrradiancia solarTemperatura del aireControlAprendizaje automáticoToma de decisionesSistemas de energía renovableIngeniería201312878Publicationhttps://scholar.google.es/citations?user=vPH5LywAAAAJvirtual::9836-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000271403virtual::9836-1e1de19e8-629e-401d-a9d3-77eea3d2db48virtual::9836-1e1de19e8-629e-401d-a9d3-77eea3d2db48virtual::9836-1TEXT25469.pdf.txt25469.pdf.txtExtracted texttext/plain264990https://repositorio.uniandes.edu.co/bitstreams/9e1d13fe-72cc-4427-a393-c4d4ac1cb8e2/downloadcc2be0657ab5fbd3c66c5be68d1ae458MD52ORIGINAL25469.pdfapplication/pdf21633238https://repositorio.uniandes.edu.co/bitstreams/6322eaec-c3f3-4dc7-93a7-62f20404dfac/download05fdbd03853f6a43cd70ca5e00a8f869MD51THUMBNAIL25469.pdf.jpg25469.pdf.jpgIM Thumbnailimage/jpeg7187https://repositorio.uniandes.edu.co/bitstreams/810ff14d-8234-4345-b087-d96f5d400a98/download5a6ff164751a62d4b79289be1f50e920MD531992/55844oai:repositorio.uniandes.edu.co:1992/558442024-08-26 15:23:57.385https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfrestrictedhttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co
dc.title.spa.fl_str_mv Contributions to variable renewable energy systems simulation, design, and integration under uncertainty and stochasticity
title Contributions to variable renewable energy systems simulation, design, and integration under uncertainty and stochasticity
spellingShingle Contributions to variable renewable energy systems simulation, design, and integration under uncertainty and stochasticity
Simulación
Irradiancia solar
Temperatura del aire
Control
Aprendizaje automático
Toma de decisiones
Sistemas de energía renovable
Ingeniería
title_short Contributions to variable renewable energy systems simulation, design, and integration under uncertainty and stochasticity
title_full Contributions to variable renewable energy systems simulation, design, and integration under uncertainty and stochasticity
title_fullStr Contributions to variable renewable energy systems simulation, design, and integration under uncertainty and stochasticity
title_full_unstemmed Contributions to variable renewable energy systems simulation, design, and integration under uncertainty and stochasticity
title_sort Contributions to variable renewable energy systems simulation, design, and integration under uncertainty and stochasticity
dc.creator.fl_str_mv Ramírez Arias, Andrés Felipe
dc.contributor.advisor.none.fl_str_mv Valencia Arboleda, Carlos Felipe
dc.contributor.author.spa.fl_str_mv Ramírez Arias, Andrés Felipe
dc.contributor.jury.spa.fl_str_mv Cadena Monroy, Ángela Inés
Lamadrid, Alberto J.
dc.contributor.jury.none.fl_str_mv Cabrales Arévalo, Sergio Andrés
dc.subject.keyword.none.fl_str_mv Simulación
Irradiancia solar
Temperatura del aire
Control
Aprendizaje automático
Toma de decisiones
Sistemas de energía renovable
topic Simulación
Irradiancia solar
Temperatura del aire
Control
Aprendizaje automático
Toma de decisiones
Sistemas de energía renovable
Ingeniería
dc.subject.themes.none.fl_str_mv Ingeniería
description This dissertation presents the development of a novel simulation methodology for solar irradiance and air temperature time series as well as the integration of optimal control and machine learning methodologies to support the decision-making process of DERs (i.e. operative decisions) as well as the decisions taken in the transmission network (i.e. investment and planing decisions). For instance DERs, such as virtual power plants (VPPs), participate in the aggregated market to provide services (i.e. Complementary services, flexibility services to guarantee the energy supply, among others.) to the electricity system, particularly when there is a lack of diversification or the system is heavily invested in non-renewable energy sources.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021
dc.date.accessioned.none.fl_str_mv 2022-02-22T20:17:00Z
dc.date.available.none.fl_str_mv 2022-02-22T20:17:00Z
dc.type.spa.fl_str_mv Trabajo de grado - Doctorado
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dc.identifier.doi.none.fl_str_mv 10.57784/1992/55844
dc.identifier.pdf.spa.fl_str_mv 25469.pdf
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dc.format.extent.spa.fl_str_mv 111 páginas
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dc.publisher.spa.fl_str_mv Universidad de los Andes
dc.publisher.program.spa.fl_str_mv Doctorado en Ingeniería
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingeniería
institution Universidad de los Andes
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