Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , |
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. |
id |
UNIFEI_ca2a2cd36ecb31f510bff8b6d1f460ed |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/12641 |
network_acronym_str |
UNIFEI |
network_name_str |
Research, Society and Development |
repository_id_str |
|
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 |
_version_ |
1797052745701654528 |