Flexibility services provision with distributed energy resources (DERs)

This study was developed based on the INVADE architecture, and its main objective is to present an algorithm to manage uncertainties of consumption and production in-between the FO instructions, for complying with the required flexible services. In this case the scope is limited to congestion manage...

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Detalles Bibliográficos
Autor: Gonzalez Iakl, Esteban
Tipo de recurso: tesis de maestría
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/334197
Acceso en línea:https://hdl.handle.net/2117/334197
Access Level:acceso abierto
Palabra clave:Electric power distribution
Energia elèctrica -- Distribució
Àrees temàtiques de la UPC::Energies::Energia elèctrica
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spelling Flexibility services provision with distributed energy resources (DERs)Gonzalez Iakl, EstebanElectric power distributionEnergia elèctrica -- DistribucióÀrees temàtiques de la UPC::Energies::Energia elèctricaThis study was developed based on the INVADE architecture, and its main objective is to present an algorithm to manage uncertainties of consumption and production in-between the FO instructions, for complying with the required flexible services. In this case the scope is limited to congestion management requirements from the DSO, but the algorithm allows for improvements to add new functionalities. The proposed algorithm works slightly modifying the FO instructions in order to expand the use of flexibility to manage the congestion events. The study is organized first by introducing the concepts related to flexibility in an electric system and the actors that could need flexibility services. Then an overview is done of the current architecture operation and the information exchanges between the actor that require a service (in this case the DSO) and the FO, presenting this way the main concerns of this study. Then, this document presents the definitions of the flexible sources that will be used for the development of the algorithm, the methodology that will be carried out and the structure of the input information. In general terms, the study consists of developing the algorithm in python capable of simulating power flows on a network to determine the best way to allocate flexibility. The algorithm is then described together with the equations and mechanisms used for the flexibility allocation. A simple example has been made to explain the basics of its functioning. Then the definition of a base scenario is presented, describing the topology of the network, the characteristics of the lines and transformers and of those inflexible and flexible sources that are part of it. The assumptions of the grid behavior (demands, solar radiations for PV panels, and connection status of EV’s) and the FO instructions for the flexible sources are also given. Finally, the simulation is run and the results are analyzed, also describing the operation of the algorithm in a particular period for a complete understanding. The algorithm effectively uses the available flexibility to eliminate congestions on the network, limiting the loading percentages of lines and transformers to a predefined value. It also uses the available capacity on lines and transformers to apply downwards regulation and thus minimizing de differences with the FO instructions. The proposed algorithm allows for the reduction of infrastructure expansion costs and provide valuable information for promoting the use of flexible sources in a certain sector of the network.Universitat Politècnica de CatalunyaVillafafila Robles, RobertoPrieto Araujo, Eduardo20202020-07-0920202020-12-10master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/zipapplication/pdfhttps://hdl.handle.net/2117/334197reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3341972026-05-27T15:37:01Z
dc.title.none.fl_str_mv Flexibility services provision with distributed energy resources (DERs)
title Flexibility services provision with distributed energy resources (DERs)
spellingShingle Flexibility services provision with distributed energy resources (DERs)
Gonzalez Iakl, Esteban
Electric power distribution
Energia elèctrica -- Distribució
Àrees temàtiques de la UPC::Energies::Energia elèctrica
title_short Flexibility services provision with distributed energy resources (DERs)
title_full Flexibility services provision with distributed energy resources (DERs)
title_fullStr Flexibility services provision with distributed energy resources (DERs)
title_full_unstemmed Flexibility services provision with distributed energy resources (DERs)
title_sort Flexibility services provision with distributed energy resources (DERs)
dc.creator.none.fl_str_mv Gonzalez Iakl, Esteban
author Gonzalez Iakl, Esteban
author_facet Gonzalez Iakl, Esteban
author_role author
dc.contributor.none.fl_str_mv Villafafila Robles, Roberto
Prieto Araujo, Eduardo
dc.subject.none.fl_str_mv Electric power distribution
Energia elèctrica -- Distribució
Àrees temàtiques de la UPC::Energies::Energia elèctrica
topic Electric power distribution
Energia elèctrica -- Distribució
Àrees temàtiques de la UPC::Energies::Energia elèctrica
description This study was developed based on the INVADE architecture, and its main objective is to present an algorithm to manage uncertainties of consumption and production in-between the FO instructions, for complying with the required flexible services. In this case the scope is limited to congestion management requirements from the DSO, but the algorithm allows for improvements to add new functionalities. The proposed algorithm works slightly modifying the FO instructions in order to expand the use of flexibility to manage the congestion events. The study is organized first by introducing the concepts related to flexibility in an electric system and the actors that could need flexibility services. Then an overview is done of the current architecture operation and the information exchanges between the actor that require a service (in this case the DSO) and the FO, presenting this way the main concerns of this study. Then, this document presents the definitions of the flexible sources that will be used for the development of the algorithm, the methodology that will be carried out and the structure of the input information. In general terms, the study consists of developing the algorithm in python capable of simulating power flows on a network to determine the best way to allocate flexibility. The algorithm is then described together with the equations and mechanisms used for the flexibility allocation. A simple example has been made to explain the basics of its functioning. Then the definition of a base scenario is presented, describing the topology of the network, the characteristics of the lines and transformers and of those inflexible and flexible sources that are part of it. The assumptions of the grid behavior (demands, solar radiations for PV panels, and connection status of EV’s) and the FO instructions for the flexible sources are also given. Finally, the simulation is run and the results are analyzed, also describing the operation of the algorithm in a particular period for a complete understanding. The algorithm effectively uses the available flexibility to eliminate congestions on the network, limiting the loading percentages of lines and transformers to a predefined value. It also uses the available capacity on lines and transformers to apply downwards regulation and thus minimizing de differences with the FO instructions. The proposed algorithm allows for the reduction of infrastructure expansion costs and provide valuable information for promoting the use of flexible sources in a certain sector of the network.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-07-09
2020
2020-12-10
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/334197
url https://hdl.handle.net/2117/334197
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/zip
application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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