Advanced probabilistic load flow

Detalhes bibliográficos
Autor(a) principal: Ciereszko, Tomasz
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/10204
Resumo: This thesis sets forth a computational framework of probabilistic load flow analysis taking into consideration of high penetration of variable energy resources, such as the wind generation. The framework enables a faster and more precise estimation of the impact of variable energy resources in load flow analysis. This thesis consists of six chapters: introduction, probabilistic load flow algorithms, computer program for PLF calculations, conclusion and future work, appendices and reference. The second part contains the mathematical development of the framework based on Sequence Operation Theory newly established. The formulation is novel in that it provides an improved computational alternative to the existing simulation based frameworks. The third part contains information about program written in Fortran 90/95 environment like format of reading data etc. Include the studies based on the standard IEEE 9-bus system. Data obtained as a result of program’s work in debugging process are compared with manual calculations for the same network to check if the program is working in proper way. Moreover comprise the results obtained in the program for largest tested network 96-RTS (24 buses). Appendices include content of two input files (random generation, system configuration for 96-RTS) and intermediate result calculated for the 24-bus system.
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spelling Advanced probabilistic load flowEngenharia electrónicaFluxo de energia: CálculoProbabilidades: AplicaçõesSoftware de computadoresRedes eléctricasThis thesis sets forth a computational framework of probabilistic load flow analysis taking into consideration of high penetration of variable energy resources, such as the wind generation. The framework enables a faster and more precise estimation of the impact of variable energy resources in load flow analysis. This thesis consists of six chapters: introduction, probabilistic load flow algorithms, computer program for PLF calculations, conclusion and future work, appendices and reference. The second part contains the mathematical development of the framework based on Sequence Operation Theory newly established. The formulation is novel in that it provides an improved computational alternative to the existing simulation based frameworks. The third part contains information about program written in Fortran 90/95 environment like format of reading data etc. Include the studies based on the standard IEEE 9-bus system. Data obtained as a result of program’s work in debugging process are compared with manual calculations for the same network to check if the program is working in proper way. Moreover comprise the results obtained in the program for largest tested network 96-RTS (24 buses). Appendices include content of two input files (random generation, system configuration for 96-RTS) and intermediate result calculated for the 24-bus system.Esta dissertação descreve parte do desenvolvimento de uma aplicação de software para calcular o fluxo de potência em sistemas de redes elétricas usando métodos probabilísticos, considerando o caso da existência de geradores com produção fortemente variável, como acontece nas quintas eólicas. A dissertação está dividida em seis capítulos: introdução, algoritmos de fluxo de potência probabilísticos, desenvolvimento do código, conclusão, apêndices e referências. A segunda parte é constituída pelo desenvolvimento matemático do método utilizado, que foi recentemente criado apresentando uma alternativa mais eficiente às tradicionais. A Terceira parte contem informação sobre a o programa criado para implementar o algoritmo e seu teste, nomeadamente o desempenho na análise do standard IEEE 96-RTS (24 - bus system). Os apêndices incluem o conteúdo dos ficheiros de entrada e resultados intermédios para debug da solução apresentada.Praca przedstawia probabilistyczną metodę do obliczania przepływów mocy w sieci energetycznej z szczególnym uwzględnieniem zmiennych źródeł energii takich jak generacja wiatrowa. Prezentowane podejście umożliwia szybsze i bardziej precyzyjne oszacowanie zmiennych zasobów energetycznych w analizie rozpływów mocy. Dokument został podzielony na sześć następujących części: wstęp, algorytm probabilistic load flow, program komputerowy, podsumowanie i możliwośći rowoju projektu, dodatki, bibliografia. Druga część pracy zawiera założenia metody Sequence Operation Theory (SOT). Prezentowany algorytm jest nowy i stanowi alternatywę dla dotychczasowo stosowanych metod. Część trzecia opisuje program komputerowy z zaimplementowaną metodą SOT stworzony na potrzeby tej pracy. Kod programu został napisany w środowisku Fortran 90/95. Rozdział zawiera badania oparte na systemie sieci energetycznej 9 magistral w celu sprawdzenia poprawności działania kodu. Ponadto w tej części zostały zaprezentowane wyniki działania aplikacji dla systemu testowego 96-RTS (24 magistral). W dodatkach zaprezentowano zawartość dwóch plików wejściowych: konfigurację systemu testowego 96-RTS i wartości generacji dla zmiennego źródła oraz pośrednie wyniki obliczeniowe dla tego systemu.Universidade de Aveiro2013-04-15T11:43:51Z2012-01-01T00:00:00Z2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/10204engCiereszko, Tomaszinfo: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:RCAAP2024-02-22T11:17:44Zoai:ria.ua.pt:10773/10204Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:46:51.993431Repositório 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 Advanced probabilistic load flow
title Advanced probabilistic load flow
spellingShingle Advanced probabilistic load flow
Ciereszko, Tomasz
Engenharia electrónica
Fluxo de energia: Cálculo
Probabilidades: Aplicações
Software de computadores
Redes eléctricas
title_short Advanced probabilistic load flow
title_full Advanced probabilistic load flow
title_fullStr Advanced probabilistic load flow
title_full_unstemmed Advanced probabilistic load flow
title_sort Advanced probabilistic load flow
author Ciereszko, Tomasz
author_facet Ciereszko, Tomasz
author_role author
dc.contributor.author.fl_str_mv Ciereszko, Tomasz
dc.subject.por.fl_str_mv Engenharia electrónica
Fluxo de energia: Cálculo
Probabilidades: Aplicações
Software de computadores
Redes eléctricas
topic Engenharia electrónica
Fluxo de energia: Cálculo
Probabilidades: Aplicações
Software de computadores
Redes eléctricas
description This thesis sets forth a computational framework of probabilistic load flow analysis taking into consideration of high penetration of variable energy resources, such as the wind generation. The framework enables a faster and more precise estimation of the impact of variable energy resources in load flow analysis. This thesis consists of six chapters: introduction, probabilistic load flow algorithms, computer program for PLF calculations, conclusion and future work, appendices and reference. The second part contains the mathematical development of the framework based on Sequence Operation Theory newly established. The formulation is novel in that it provides an improved computational alternative to the existing simulation based frameworks. The third part contains information about program written in Fortran 90/95 environment like format of reading data etc. Include the studies based on the standard IEEE 9-bus system. Data obtained as a result of program’s work in debugging process are compared with manual calculations for the same network to check if the program is working in proper way. Moreover comprise the results obtained in the program for largest tested network 96-RTS (24 buses). Appendices include content of two input files (random generation, system configuration for 96-RTS) and intermediate result calculated for the 24-bus system.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01T00:00:00Z
2012
2013-04-15T11:43:51Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/10204
url http://hdl.handle.net/10773/10204
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de Aveiro
publisher.none.fl_str_mv Universidade de Aveiro
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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