Providing Flexibility in Distribution Systems by Electric Vehicles and Distributed Energy Resources in the Context of Technical Virtual Power Plants

Detalhes bibliográficos
Autor(a) principal: Pedro Miguel de Carvalho Pereira
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/132830
Resumo: The energy sector has faced a growing increase in demand over the past few years, resulting from the introduction of new technologies, as well as from economic development worldwide. Similarly, energy production based on renewable sources is increasingly used to minimize fossil fuel dependency and the associated emissions. These factors have resulted in structural changes, both in topology and operation of the electrical system, leading to the appearance of distributed energy resources (DERs) technologies. On the production side, distributed generation (DG) units, that are energy sources closer to the site of the load, have become increasingly common, while on the demand side, new technological applications, such as electric vehicles with their bidirectional flow capability (Vehicle-to-Grid (V2G) technology) have changed the typical customer role. Such changes have become particularly important at the distribution network level. In this context, the concept of a Technical Virtual Power Plant (TVPP) emerges, whose fundamental operating principle consists of the aggregation of small producers and power sources into a virtual power generation network. This concept aims to enhance the flexibility of the grid, while contributing to an increase in the quality and reliability of electric energy, which also brings economic benefits. In this thesis, a stochastic mixed-integer linear programming (MLIP) optimization model was developed. The main objective was providing flexibility to the distribution system through the concept a TVPP who is responsible for aggregating, DG units and electrical vehicles (EVs) capable of supplying energy to the grid at some of the nodes of the TVPP. The model is tested using the IEEE 119 Bus test system, and results show that with the inclusion of DG units and V2G, the profit of a TVPP increases by 45.4%.
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spelling Providing Flexibility in Distribution Systems by Electric Vehicles and Distributed Energy Resources in the Context of Technical Virtual Power PlantsEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringThe energy sector has faced a growing increase in demand over the past few years, resulting from the introduction of new technologies, as well as from economic development worldwide. Similarly, energy production based on renewable sources is increasingly used to minimize fossil fuel dependency and the associated emissions. These factors have resulted in structural changes, both in topology and operation of the electrical system, leading to the appearance of distributed energy resources (DERs) technologies. On the production side, distributed generation (DG) units, that are energy sources closer to the site of the load, have become increasingly common, while on the demand side, new technological applications, such as electric vehicles with their bidirectional flow capability (Vehicle-to-Grid (V2G) technology) have changed the typical customer role. Such changes have become particularly important at the distribution network level. In this context, the concept of a Technical Virtual Power Plant (TVPP) emerges, whose fundamental operating principle consists of the aggregation of small producers and power sources into a virtual power generation network. This concept aims to enhance the flexibility of the grid, while contributing to an increase in the quality and reliability of electric energy, which also brings economic benefits. In this thesis, a stochastic mixed-integer linear programming (MLIP) optimization model was developed. The main objective was providing flexibility to the distribution system through the concept a TVPP who is responsible for aggregating, DG units and electrical vehicles (EVs) capable of supplying energy to the grid at some of the nodes of the TVPP. The model is tested using the IEEE 119 Bus test system, and results show that with the inclusion of DG units and V2G, the profit of a TVPP increases by 45.4%.2020-07-242020-07-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/132830TID:202827763engPedro Miguel de Carvalho Pereirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:24:40Zoai:repositorio-aberto.up.pt:10216/132830Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:23:00.195131Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Providing Flexibility in Distribution Systems by Electric Vehicles and Distributed Energy Resources in the Context of Technical Virtual Power Plants
title Providing Flexibility in Distribution Systems by Electric Vehicles and Distributed Energy Resources in the Context of Technical Virtual Power Plants
spellingShingle Providing Flexibility in Distribution Systems by Electric Vehicles and Distributed Energy Resources in the Context of Technical Virtual Power Plants
Pedro Miguel de Carvalho Pereira
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Providing Flexibility in Distribution Systems by Electric Vehicles and Distributed Energy Resources in the Context of Technical Virtual Power Plants
title_full Providing Flexibility in Distribution Systems by Electric Vehicles and Distributed Energy Resources in the Context of Technical Virtual Power Plants
title_fullStr Providing Flexibility in Distribution Systems by Electric Vehicles and Distributed Energy Resources in the Context of Technical Virtual Power Plants
title_full_unstemmed Providing Flexibility in Distribution Systems by Electric Vehicles and Distributed Energy Resources in the Context of Technical Virtual Power Plants
title_sort Providing Flexibility in Distribution Systems by Electric Vehicles and Distributed Energy Resources in the Context of Technical Virtual Power Plants
author Pedro Miguel de Carvalho Pereira
author_facet Pedro Miguel de Carvalho Pereira
author_role author
dc.contributor.author.fl_str_mv Pedro Miguel de Carvalho Pereira
dc.subject.por.fl_str_mv Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
description The energy sector has faced a growing increase in demand over the past few years, resulting from the introduction of new technologies, as well as from economic development worldwide. Similarly, energy production based on renewable sources is increasingly used to minimize fossil fuel dependency and the associated emissions. These factors have resulted in structural changes, both in topology and operation of the electrical system, leading to the appearance of distributed energy resources (DERs) technologies. On the production side, distributed generation (DG) units, that are energy sources closer to the site of the load, have become increasingly common, while on the demand side, new technological applications, such as electric vehicles with their bidirectional flow capability (Vehicle-to-Grid (V2G) technology) have changed the typical customer role. Such changes have become particularly important at the distribution network level. In this context, the concept of a Technical Virtual Power Plant (TVPP) emerges, whose fundamental operating principle consists of the aggregation of small producers and power sources into a virtual power generation network. This concept aims to enhance the flexibility of the grid, while contributing to an increase in the quality and reliability of electric energy, which also brings economic benefits. In this thesis, a stochastic mixed-integer linear programming (MLIP) optimization model was developed. The main objective was providing flexibility to the distribution system through the concept a TVPP who is responsible for aggregating, DG units and electrical vehicles (EVs) capable of supplying energy to the grid at some of the nodes of the TVPP. The model is tested using the IEEE 119 Bus test system, and results show that with the inclusion of DG units and V2G, the profit of a TVPP increases by 45.4%.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-24
2020-07-24T00:00:00Z
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TID:202827763
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