Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm

Detalhes bibliográficos
Autor(a) principal: Costa, Heictor Alves de Oliveira
Data de Publicação: 2021
Outros Autores: Costa, Denis Carlos Lima, Meneses, Lair Aguiar de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/12641
Resumo: This paper proposes a method based on genetic algorithm (GA) for the security-constrained optimal dispatch of integrated natural gas and electricity networks, considering operating scenarios in both energy systems, demonstrating the importance of interdisciplinary teaching in the academic contents of Mathematics, Physics and Computing in modeling engineering problems. The mathematical formulation of the optimization problem consists of a multi-objective function which aims to minimize both costs of thermal generation (using processes based on diesel oil and natural gas) as well as the production and transportation of natural gas. The joint gas-electricity system is modeled by two separate groups of nonlinear equation, which are solved by the combination of Newton's method with the GA. The applicability of the proposed method is tested in the Belgian gas network integrated with the IEEE 14-bus test system and a 15-node natural gas network integrated with the IEEE 118-bus test system. The results demonstrate, with excellent levels of precision and accuracy, that the proposed method provides efficient and secure solutions for different operating scenarios in both energy systems, henceforth the case study carried out by the research group Gradient de Mathematical Modeling and Computational Simulation - GM²SC, linked to the Federal Institute of Education, Science and Technology of Pará - IFPA Campus Ananindeua.
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spelling Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic AlgorithmInterdisciplinariedad Aplicada al Despacho Optimizado de Redes Integradas de Electricidad y Gas Natural mediante el Algoritmo GenéticoA interdisciplinaridade Aplicada ao Despacho Otimizado das Redes Integradas de Energia Elétrica e de Gás Natural utilizando o Algoritmo GenéticoInterdisciplinaridadeGeração de energia elétricaAlgoritmo genéticoGás natural.InterdisciplinariedadGeneración de Energía EléctricaAlgoritmo genéticoGas natural.InterdisciplinarityElectric Power GenerationGenetic AlgorithmNatural gas.This paper proposes a method based on genetic algorithm (GA) for the security-constrained optimal dispatch of integrated natural gas and electricity networks, considering operating scenarios in both energy systems, demonstrating the importance of interdisciplinary teaching in the academic contents of Mathematics, Physics and Computing in modeling engineering problems. The mathematical formulation of the optimization problem consists of a multi-objective function which aims to minimize both costs of thermal generation (using processes based on diesel oil and natural gas) as well as the production and transportation of natural gas. The joint gas-electricity system is modeled by two separate groups of nonlinear equation, which are solved by the combination of Newton's method with the GA. The applicability of the proposed method is tested in the Belgian gas network integrated with the IEEE 14-bus test system and a 15-node natural gas network integrated with the IEEE 118-bus test system. The results demonstrate, with excellent levels of precision and accuracy, that the proposed method provides efficient and secure solutions for different operating scenarios in both energy systems, henceforth the case study carried out by the research group Gradient de Mathematical Modeling and Computational Simulation - GM²SC, linked to the Federal Institute of Education, Science and Technology of Pará - IFPA Campus Ananindeua.Este artículo propone un método basado en algoritmo genético (AG) para el despacho óptimo con restricciones de seguridad de redes integradas de gas natural y electricidad, considerando escenarios operativos en ambos sistemas energéticos, demostrando la importancia de la enseñanza interdisciplinaria en los contenidos académicos de Matemáticas, Física y Computación en la modelización de problemas de ingeniería. La formulación matemática del problema de optimización consta de una función multiobjetivo que tiene como objetivo minimizar tanto los costos de generación térmica (mediante procesos basados en gasoil y gas natural) como la producción y transporte de gas natural. El sistema conjunto gas-electricidad está modelado por dos grupos separados de ecuaciones no lineales, que se resuelven mediante la combinación del método de Newton con el AG. La aplicabilidad del método propuesto se prueba en la red de gas belga integrada con el sistema de prueba IEEE 14-bus y una red de gas natural de 15 nodos integrada con el sistema de prueba IEEE 118-bus. Los resultados demuestran, con excelentes niveles de precisión y exactitud, que el método propuesto brinda soluciones eficientes y seguras para diferentes escenarios operativos en ambos sistemas energéticos, en adelante el estudio de caso realizado por el grupo de investigación Gradiente de Modelado Matemático y Simulación Computacional - GM²SC, vinculado al Instituto Federal de Educación, Ciencia y Tecnología de Pará - IFPA Campus Ananindeua.Este artigo propõe um método baseado em algoritmo genético (AG) para o despacho ótimo com restrição de segurança de redes integradas de energia elétrica e gás natural, considerando cenários operacionais em ambos os sistemas de energia, demonstrando a importância do ensino interdisciplinar nos conteúdos acadêmicos de Matemática, Física e Computação na modelagem de problemas das Engenharias. A formulação matemática do problema de otimização consiste em uma função multiobjetivo que visa minimizer, tanto os custos da geração térmica (utilizando processos baseados em óleo diesel e gás natural), quanto à produção e ao transporte do gás natural. O sistema gás-eletricidade é modelado por dois grupos separados de equações não lineares, que são resolvidos pela combinação do método de Newton com AG. A aplicabilidade do método proposto é testada na rede de gás belga integrada ao sistema de teste IEEE de 14 barras e em uma rede de gás natural de 15 nós integrada ao sistema de teste IEEE-118 barras. Os resultados demonstram, com excelentes níveis de precisão e acurácia, que o método proposto oferece soluções eficientes e seguras para diferentes cenários de operação em ambos os sistemas de energia, doravante o estudo de caso executado pelo grupo de pesquisa Gradiente de Modelagem Matemática e Simulação Computacional – GM²SC, vinculado ao Instituto Federal de Educação, Ciência e Tecnologia do Pará – IFPA Campus Ananindeua.Research, Society and Development2021-02-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1264110.33448/rsd-v10i2.12641Research, Society and Development; Vol. 10 No. 2; e42110212641Research, Society and Development; Vol. 10 Núm. 2; e42110212641Research, Society and Development; v. 10 n. 2; e421102126412525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/12641/11430Copyright (c) 2021 Heictor Alves de Oliveira Costa; Denis Carlos Lima Costa; Lair Aguiar de Meneseshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCosta, Heictor Alves de OliveiraCosta, Denis Carlos LimaMeneses, Lair Aguiar de2021-03-02T09:32:39Zoai:ojs.pkp.sfu.ca:article/12641Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:34:09.654949Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm
Interdisciplinariedad Aplicada al Despacho Optimizado de Redes Integradas de Electricidad y Gas Natural mediante el Algoritmo Genético
A interdisciplinaridade Aplicada ao Despacho Otimizado das Redes Integradas de Energia Elétrica e de Gás Natural utilizando o Algoritmo Genético
title Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm
spellingShingle Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm
Costa, Heictor Alves de Oliveira
Interdisciplinaridade
Geração de energia elétrica
Algoritmo genético
Gás natural.
Interdisciplinariedad
Generación de Energía Eléctrica
Algoritmo genético
Gas natural.
Interdisciplinarity
Electric Power Generation
Genetic Algorithm
Natural gas.
title_short Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm
title_full Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm
title_fullStr Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm
title_full_unstemmed Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm
title_sort Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm
author Costa, Heictor Alves de Oliveira
author_facet Costa, Heictor Alves de Oliveira
Costa, Denis Carlos Lima
Meneses, Lair Aguiar de
author_role author
author2 Costa, Denis Carlos Lima
Meneses, Lair Aguiar de
author2_role author
author
dc.contributor.author.fl_str_mv Costa, Heictor Alves de Oliveira
Costa, Denis Carlos Lima
Meneses, Lair Aguiar de
dc.subject.por.fl_str_mv Interdisciplinaridade
Geração de energia elétrica
Algoritmo genético
Gás natural.
Interdisciplinariedad
Generación de Energía Eléctrica
Algoritmo genético
Gas natural.
Interdisciplinarity
Electric Power Generation
Genetic Algorithm
Natural gas.
topic Interdisciplinaridade
Geração de energia elétrica
Algoritmo genético
Gás natural.
Interdisciplinariedad
Generación de Energía Eléctrica
Algoritmo genético
Gas natural.
Interdisciplinarity
Electric Power Generation
Genetic Algorithm
Natural gas.
description This paper proposes a method based on genetic algorithm (GA) for the security-constrained optimal dispatch of integrated natural gas and electricity networks, considering operating scenarios in both energy systems, demonstrating the importance of interdisciplinary teaching in the academic contents of Mathematics, Physics and Computing in modeling engineering problems. The mathematical formulation of the optimization problem consists of a multi-objective function which aims to minimize both costs of thermal generation (using processes based on diesel oil and natural gas) as well as the production and transportation of natural gas. The joint gas-electricity system is modeled by two separate groups of nonlinear equation, which are solved by the combination of Newton's method with the GA. The applicability of the proposed method is tested in the Belgian gas network integrated with the IEEE 14-bus test system and a 15-node natural gas network integrated with the IEEE 118-bus test system. The results demonstrate, with excellent levels of precision and accuracy, that the proposed method provides efficient and secure solutions for different operating scenarios in both energy systems, henceforth the case study carried out by the research group Gradient de Mathematical Modeling and Computational Simulation - GM²SC, linked to the Federal Institute of Education, Science and Technology of Pará - IFPA Campus Ananindeua.
publishDate 2021
dc.date.none.fl_str_mv 2021-02-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/12641
10.33448/rsd-v10i2.12641
url https://rsdjournal.org/index.php/rsd/article/view/12641
identifier_str_mv 10.33448/rsd-v10i2.12641
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/12641/11430
dc.rights.driver.fl_str_mv Copyright (c) 2021 Heictor Alves de Oliveira Costa; Denis Carlos Lima Costa; Lair Aguiar de Meneses
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Heictor Alves de Oliveira Costa; Denis Carlos Lima Costa; Lair Aguiar de Meneses
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 2; e42110212641
Research, Society and Development; Vol. 10 Núm. 2; e42110212641
Research, Society and Development; v. 10 n. 2; e42110212641
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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