Trânsito de potências ótimo incluindo armazenamento

Bibliographic Details
Main Author: Diogo Domingos Lopes de Freitas
Publication Date: 2018
Format: Master thesis
Language: por
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/111160
Summary: With the growth of renewable energy sources and other distributed generation sources, energy grids are becoming more complex. Renewable production has many advantages but has the disadvantage of being very intermittent, and always requires conventional production to back it up when the weather doesn't allow for renewable production. One of the most up and coming technologies for energy grids are energy storage systems. Storage systems are gaining more importance as renewable generation increases in the electric system, and it is seen as one of the better tools to help with renewable integration, among other advantages that they can bring to the grid. In this study, the main objective was to develop a Multi-temporal Optimal Power Flow methodology, able to integrate storage and to deal with AC constraints. The multi-temporal problem formulation allows the optimization of the charging and discharging schedule, in order to evaluate the benefits of storage integration.,. The proposed approach is based on a two-blocks system. The first block uses the Matpower Optimal Scheduling Tool (MOST), responsible for the initial DC OPF and Optimization of the global dispatch for the time interval considered, while defining the storage unit charge and discharge periods that would minimize the system's dispatch. The second block is an AC OPF, applied for each hour individually, and aims at computing losses and checking all system constraints, namely reactive power flows and limits. In the last step, the AC information (losses, constraints, are re-integrated in the MOST tool, to produce the final results. The proposed methodology was validated through simulations studies on the IEEE 30 Bus Bar System. During this study, several cases of study are considered to analyse the influence of the storage unit on various aspects of the system, with the main objective being always to diminish the system's economic dispatch.
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spelling Trânsito de potências ótimo incluindo armazenamentoEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringWith the growth of renewable energy sources and other distributed generation sources, energy grids are becoming more complex. Renewable production has many advantages but has the disadvantage of being very intermittent, and always requires conventional production to back it up when the weather doesn't allow for renewable production. One of the most up and coming technologies for energy grids are energy storage systems. Storage systems are gaining more importance as renewable generation increases in the electric system, and it is seen as one of the better tools to help with renewable integration, among other advantages that they can bring to the grid. In this study, the main objective was to develop a Multi-temporal Optimal Power Flow methodology, able to integrate storage and to deal with AC constraints. The multi-temporal problem formulation allows the optimization of the charging and discharging schedule, in order to evaluate the benefits of storage integration.,. The proposed approach is based on a two-blocks system. The first block uses the Matpower Optimal Scheduling Tool (MOST), responsible for the initial DC OPF and Optimization of the global dispatch for the time interval considered, while defining the storage unit charge and discharge periods that would minimize the system's dispatch. The second block is an AC OPF, applied for each hour individually, and aims at computing losses and checking all system constraints, namely reactive power flows and limits. In the last step, the AC information (losses, constraints, are re-integrated in the MOST tool, to produce the final results. The proposed methodology was validated through simulations studies on the IEEE 30 Bus Bar System. During this study, several cases of study are considered to analyse the influence of the storage unit on various aspects of the system, with the main objective being always to diminish the system's economic dispatch.2018-02-082018-02-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/111160TID:201904640porDiogo Domingos Lopes de Freitasinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T17:53:31Zoai:repositorio-aberto.up.pt:10216/111160Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T22:30:23.435943Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Trânsito de potências ótimo incluindo armazenamento
title Trânsito de potências ótimo incluindo armazenamento
spellingShingle Trânsito de potências ótimo incluindo armazenamento
Diogo Domingos Lopes de Freitas
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Trânsito de potências ótimo incluindo armazenamento
title_full Trânsito de potências ótimo incluindo armazenamento
title_fullStr Trânsito de potências ótimo incluindo armazenamento
title_full_unstemmed Trânsito de potências ótimo incluindo armazenamento
title_sort Trânsito de potências ótimo incluindo armazenamento
author Diogo Domingos Lopes de Freitas
author_facet Diogo Domingos Lopes de Freitas
author_role author
dc.contributor.author.fl_str_mv Diogo Domingos Lopes de Freitas
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 With the growth of renewable energy sources and other distributed generation sources, energy grids are becoming more complex. Renewable production has many advantages but has the disadvantage of being very intermittent, and always requires conventional production to back it up when the weather doesn't allow for renewable production. One of the most up and coming technologies for energy grids are energy storage systems. Storage systems are gaining more importance as renewable generation increases in the electric system, and it is seen as one of the better tools to help with renewable integration, among other advantages that they can bring to the grid. In this study, the main objective was to develop a Multi-temporal Optimal Power Flow methodology, able to integrate storage and to deal with AC constraints. The multi-temporal problem formulation allows the optimization of the charging and discharging schedule, in order to evaluate the benefits of storage integration.,. The proposed approach is based on a two-blocks system. The first block uses the Matpower Optimal Scheduling Tool (MOST), responsible for the initial DC OPF and Optimization of the global dispatch for the time interval considered, while defining the storage unit charge and discharge periods that would minimize the system's dispatch. The second block is an AC OPF, applied for each hour individually, and aims at computing losses and checking all system constraints, namely reactive power flows and limits. In the last step, the AC information (losses, constraints, are re-integrated in the MOST tool, to produce the final results. The proposed methodology was validated through simulations studies on the IEEE 30 Bus Bar System. During this study, several cases of study are considered to analyse the influence of the storage unit on various aspects of the system, with the main objective being always to diminish the system's economic dispatch.
publishDate 2018
dc.date.none.fl_str_mv 2018-02-08
2018-02-08T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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TID:201904640
url https://hdl.handle.net/10216/111160
identifier_str_mv TID:201904640
dc.language.iso.fl_str_mv por
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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