A robust optimization-based model predictive control of the energy management within grid-connected microgrids

"This master thesis presents an operational strategy for a microgrid-connected wayside energy storage device within a light rail application. This strategy is based on a mixedinteger linear program optimization formulated over a rolling horizon framework; the optimization takes into account for...

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Autor principal: Roussineau, Eduardo Esteban
Otros Autores: Otto, Philip
Formato: Tesis de maestría
Lenguaje:Inglés
Publicado: 2018
Materias:
GENERACION DE ENERGIA ELECTRICA
CONTROL PREDICTIVO
RECURSOS ENERGETICOS RENOVABLES
FERROCARRILES
OPTIMIZACION MATEMATICA
FRENOS
REDES NEURONALES
ALMACENAMIENTO DE ENERGIA
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1153
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1153
record_format dspace
spelling I32-R138-123456789-11532022-12-07T15:21:10Z A robust optimization-based model predictive control of the energy management within grid-connected microgrids Roussineau, Eduardo Esteban Otto, Philip GENERACION DE ENERGIA ELECTRICA CONTROL PREDICTIVO RECURSOS ENERGETICOS RENOVABLES FERROCARRILES OPTIMIZACION MATEMATICA FRENOS REDES NEURONALES ALMACENAMIENTO DE ENERGIA "This master thesis presents an operational strategy for a microgrid-connected wayside energy storage device within a light rail application. This strategy is based on a mixedinteger linear program optimization formulated over a rolling horizon framework; the optimization takes into account forecasted values for renewable energy generation and electricity usage within the microgrid, as well as the prices for energy exchange with the main distribution grid. Robust optimization theory is used to create a robust counterpart formulation of the optimization problem so that the uncertainties present in forecasted values are handled." "Esta tesis de maestría presenta una estrategia operativa para un dispositivo de almacenamiento de energía dentro de una microgrid; el dispositivo opera dentro de un sistema de trenes ligeros y se encuentra instalado a la orilla de las vías férreas. La estrategia se basa en la optimización de un programa lineal de variables enteras y continuas formulado en un marco de horizonte móvil; la optimización toma en cuenta los pronósticos para los valores de regeneración de energía mediante el frenado de los trenes y uso de electricidad dentro de la microgrid, así como los precios para el intercambio de energía con la red principal de distribución. La teoría de optimización robusta es utilizada para crear una contraparte robusta del problema de optimización, de modo que las incertidumbres presentes en los valores pronosticados sean tenidas en cuenta." Tesis Energía y Ambiente (maestría) - Instituto Tecnológico de Buenos Aires, Buenos Aires - Karlsruher Institut für Technologie, Karlsruhe, 2018 2018-03-26T17:15:57Z 2018-03-26T17:15:57Z 2018 Tesis de maestría http://ri.itba.edu.ar/handle/123456789/1153 en application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic GENERACION DE ENERGIA ELECTRICA
CONTROL PREDICTIVO
RECURSOS ENERGETICOS RENOVABLES
FERROCARRILES
OPTIMIZACION MATEMATICA
FRENOS
REDES NEURONALES
ALMACENAMIENTO DE ENERGIA
spellingShingle GENERACION DE ENERGIA ELECTRICA
CONTROL PREDICTIVO
RECURSOS ENERGETICOS RENOVABLES
FERROCARRILES
OPTIMIZACION MATEMATICA
FRENOS
REDES NEURONALES
ALMACENAMIENTO DE ENERGIA
Roussineau, Eduardo Esteban
A robust optimization-based model predictive control of the energy management within grid-connected microgrids
topic_facet GENERACION DE ENERGIA ELECTRICA
CONTROL PREDICTIVO
RECURSOS ENERGETICOS RENOVABLES
FERROCARRILES
OPTIMIZACION MATEMATICA
FRENOS
REDES NEURONALES
ALMACENAMIENTO DE ENERGIA
description "This master thesis presents an operational strategy for a microgrid-connected wayside energy storage device within a light rail application. This strategy is based on a mixedinteger linear program optimization formulated over a rolling horizon framework; the optimization takes into account forecasted values for renewable energy generation and electricity usage within the microgrid, as well as the prices for energy exchange with the main distribution grid. Robust optimization theory is used to create a robust counterpart formulation of the optimization problem so that the uncertainties present in forecasted values are handled."
author2 Otto, Philip
author_facet Otto, Philip
Roussineau, Eduardo Esteban
format Tesis de maestría
author Roussineau, Eduardo Esteban
author_sort Roussineau, Eduardo Esteban
title A robust optimization-based model predictive control of the energy management within grid-connected microgrids
title_short A robust optimization-based model predictive control of the energy management within grid-connected microgrids
title_full A robust optimization-based model predictive control of the energy management within grid-connected microgrids
title_fullStr A robust optimization-based model predictive control of the energy management within grid-connected microgrids
title_full_unstemmed A robust optimization-based model predictive control of the energy management within grid-connected microgrids
title_sort robust optimization-based model predictive control of the energy management within grid-connected microgrids
publishDate 2018
url http://ri.itba.edu.ar/handle/123456789/1153
work_keys_str_mv AT roussineaueduardoesteban arobustoptimizationbasedmodelpredictivecontroloftheenergymanagementwithingridconnectedmicrogrids
AT roussineaueduardoesteban robustoptimizationbasedmodelpredictivecontroloftheenergymanagementwithingridconnectedmicrogrids
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