Advanced probabilistic load flow
Autor(a) principal: | |
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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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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