POWER SYSTEM PLANNING AND OPERATION
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Capítulo de livro |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1002/9781119602286.ch3 http://hdl.handle.net/11449/242130 |
Resumo: | This chapter provides implementation of various optimization algorithms to various power system problems that utilize power flow calculations. Determination of the schedule (ON/OFF status and amount of power generated) of generating units within a power system results in great saving for electric utilities. The unit commitment problem can be formulated in order to minimize the total operating cost, satisfying the system, the unit, and several operational constraints. The power transfer limit of overhead transmission lines (OTLs) is an important constraint for power systems’ planning and operation. This constraint plays an essential role in the secure and economic management of power systems. The chapter presents economic dispatch problem by considering GAs and particle swarm optimization (PSO) in complex power system analysis. It uses a hybrid PSO to solve load flow problem while uses artificial bee colony optimization for solving the optimal power flow problem. |
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Repositório Institucional da UNESP |
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POWER SYSTEM PLANNING AND OPERATIONArtificial bee colony optimizationClassical constructive heuristic algorithmsOptimal power flow problemParticle swarm optimizationPower system planningUnit commitment problemThis chapter provides implementation of various optimization algorithms to various power system problems that utilize power flow calculations. Determination of the schedule (ON/OFF status and amount of power generated) of generating units within a power system results in great saving for electric utilities. The unit commitment problem can be formulated in order to minimize the total operating cost, satisfying the system, the unit, and several operational constraints. The power transfer limit of overhead transmission lines (OTLs) is an important constraint for power systems’ planning and operation. This constraint plays an essential role in the secure and economic management of power systems. The chapter presents economic dispatch problem by considering GAs and particle swarm optimization (PSO) in complex power system analysis. It uses a hybrid PSO to solve load flow problem while uses artificial bee colony optimization for solving the optimal power flow problem.National Institute of Technology Tiruchirappalli, TamilnaduIndian Institute of Technology Roorkee, UttarakhandKonkuk UniversityBaylor UniversityNorth China Electric Power UniversityEletrobrasGyeongsang National UniversityGnarus Institute, MGItajuba Federal University, MGABB Enterprises Software Inc.Kirikkale UniversityTU DelftINESC TECINESC TEC University of PortoUniversity of Duisburg-EssenJedlix Smart ChargingUniversity of São PauloState University of Piauí, PiauíSão Paulo State University, São PauloSão Paulo State University, São PauloNational Institute of Technology TiruchirappalliIndian Institute of Technology RoorkeeKonkuk UniversityBaylor UniversityNorth China Electric Power UniversityEletrobrasGyeongsang National UniversityGnarus InstituteItajuba Federal UniversityABB Enterprises Software Inc.Kirikkale UniversityTU DelftINESC TECUniversity of PortoUniversity of Duisburg-EssenJedlix Smart ChargingUniversidade de São Paulo (USP)State University of PiauíUniversidade Estadual Paulista (UNESP)Simon, Sishaj PulikottilPadhy, Narayana PrasadPark, Jong-BaeLee, Kwang Y.Zhou, MingXia, Shuda Silva, Anna Carolina R.H.Choi, JaeseokLee, YeonchanLambert-Torres, GermanoSalomon, Camila Paesda Silva, Luiz Eduardo BorgesBai, WenleiEke, IbrahimRueda, JoseCarvalho, LeonelMiranda, VladimiroErlich, IstvanTheologi, Aimilia-MyrsiniAsada, Eduardo N.Souza, Aldir S.Romero, Rubén [UNESP]2023-03-02T09:48:57Z2023-03-02T09:48:57Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart39-225http://dx.doi.org/10.1002/9781119602286.ch3Applications of Modern Heuristic Optimization Methods in Power and Energy Systems, p. 39-225.http://hdl.handle.net/11449/24213010.1002/9781119602286.ch32-s2.0-85135659431Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengApplications of Modern Heuristic Optimization Methods in Power and Energy Systemsinfo:eu-repo/semantics/openAccess2024-07-04T19:06:58Zoai:repositorio.unesp.br:11449/242130Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:23:51.685408Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
POWER SYSTEM PLANNING AND OPERATION |
title |
POWER SYSTEM PLANNING AND OPERATION |
spellingShingle |
POWER SYSTEM PLANNING AND OPERATION Simon, Sishaj Pulikottil Artificial bee colony optimization Classical constructive heuristic algorithms Optimal power flow problem Particle swarm optimization Power system planning Unit commitment problem |
title_short |
POWER SYSTEM PLANNING AND OPERATION |
title_full |
POWER SYSTEM PLANNING AND OPERATION |
title_fullStr |
POWER SYSTEM PLANNING AND OPERATION |
title_full_unstemmed |
POWER SYSTEM PLANNING AND OPERATION |
title_sort |
POWER SYSTEM PLANNING AND OPERATION |
author |
Simon, Sishaj Pulikottil |
author_facet |
Simon, Sishaj Pulikottil Padhy, Narayana Prasad Park, Jong-Bae Lee, Kwang Y. Zhou, Ming Xia, Shu da Silva, Anna Carolina R.H. Choi, Jaeseok Lee, Yeonchan Lambert-Torres, Germano Salomon, Camila Paes da Silva, Luiz Eduardo Borges Bai, Wenlei Eke, Ibrahim Rueda, Jose Carvalho, Leonel Miranda, Vladimiro Erlich, Istvan Theologi, Aimilia-Myrsini Asada, Eduardo N. Souza, Aldir S. Romero, Rubén [UNESP] |
author_role |
author |
author2 |
Padhy, Narayana Prasad Park, Jong-Bae Lee, Kwang Y. Zhou, Ming Xia, Shu da Silva, Anna Carolina R.H. Choi, Jaeseok Lee, Yeonchan Lambert-Torres, Germano Salomon, Camila Paes da Silva, Luiz Eduardo Borges Bai, Wenlei Eke, Ibrahim Rueda, Jose Carvalho, Leonel Miranda, Vladimiro Erlich, Istvan Theologi, Aimilia-Myrsini Asada, Eduardo N. Souza, Aldir S. Romero, Rubén [UNESP] |
author2_role |
author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
National Institute of Technology Tiruchirappalli Indian Institute of Technology Roorkee Konkuk University Baylor University North China Electric Power University Eletrobras Gyeongsang National University Gnarus Institute Itajuba Federal University ABB Enterprises Software Inc. Kirikkale University TU Delft INESC TEC University of Porto University of Duisburg-Essen Jedlix Smart Charging Universidade de São Paulo (USP) State University of Piauí Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Simon, Sishaj Pulikottil Padhy, Narayana Prasad Park, Jong-Bae Lee, Kwang Y. Zhou, Ming Xia, Shu da Silva, Anna Carolina R.H. Choi, Jaeseok Lee, Yeonchan Lambert-Torres, Germano Salomon, Camila Paes da Silva, Luiz Eduardo Borges Bai, Wenlei Eke, Ibrahim Rueda, Jose Carvalho, Leonel Miranda, Vladimiro Erlich, Istvan Theologi, Aimilia-Myrsini Asada, Eduardo N. Souza, Aldir S. Romero, Rubén [UNESP] |
dc.subject.por.fl_str_mv |
Artificial bee colony optimization Classical constructive heuristic algorithms Optimal power flow problem Particle swarm optimization Power system planning Unit commitment problem |
topic |
Artificial bee colony optimization Classical constructive heuristic algorithms Optimal power flow problem Particle swarm optimization Power system planning Unit commitment problem |
description |
This chapter provides implementation of various optimization algorithms to various power system problems that utilize power flow calculations. Determination of the schedule (ON/OFF status and amount of power generated) of generating units within a power system results in great saving for electric utilities. The unit commitment problem can be formulated in order to minimize the total operating cost, satisfying the system, the unit, and several operational constraints. The power transfer limit of overhead transmission lines (OTLs) is an important constraint for power systems’ planning and operation. This constraint plays an essential role in the secure and economic management of power systems. The chapter presents economic dispatch problem by considering GAs and particle swarm optimization (PSO) in complex power system analysis. It uses a hybrid PSO to solve load flow problem while uses artificial bee colony optimization for solving the optimal power flow problem. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 2023-03-02T09:48:57Z 2023-03-02T09:48:57Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/bookPart |
format |
bookPart |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1002/9781119602286.ch3 Applications of Modern Heuristic Optimization Methods in Power and Energy Systems, p. 39-225. http://hdl.handle.net/11449/242130 10.1002/9781119602286.ch3 2-s2.0-85135659431 |
url |
http://dx.doi.org/10.1002/9781119602286.ch3 http://hdl.handle.net/11449/242130 |
identifier_str_mv |
Applications of Modern Heuristic Optimization Methods in Power and Energy Systems, p. 39-225. 10.1002/9781119602286.ch3 2-s2.0-85135659431 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Applications of Modern Heuristic Optimization Methods in Power and Energy Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
39-225 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129516557565952 |