Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power Systems
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1155/2022/5612334 http://hdl.handle.net/11449/237917 |
Resumo: | In this paper, it is proposed to apply the mayfly optimization algorithm (MOA) to perform the coordinated and simultaneous tuning of the parameters of supplementary damping controllers, i.e., power system stabilizer (PSS) and power oscillation damping (POD), that actuate together with the automatic voltage regulators of the synchronous generators and the static synchronous series compensator (SSSC), respectively, for damping low-frequency oscillations in power systems. The performance of the MOA is compared with the performances of the genetic algorithm (GA) and particle swarm optimization (PSO) algorithm for solving this problem. The dynamics of the power system is represented using the current sensitivity model, and, because of that, a current injections model is proposed for the SSSC, which uses proportional-integral (PI) controllers and the residues of the current injections at the buses, obtained from the Newton-Raphson method. Tests were carried out using the New England system and the two-area symmetrical system. Both static and dynamic analyses of the operation of the SSSC were performed. To validate the proposed optimization techniques, two sets of tests were conducted: first, with the purpose of verifying the performance of the most effective algorithm for tuning the parameters of PSSs, PI, and POD controllers, and second, with the purpose of performing studies focused on small-signal stability. The results have validated the current injections model for the SSSC, as well as have indicated the superior performance of the MOA for solving the problem, accrediting it as a powerful tool for small-signal stability studies in power systems. |
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Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power SystemsIn this paper, it is proposed to apply the mayfly optimization algorithm (MOA) to perform the coordinated and simultaneous tuning of the parameters of supplementary damping controllers, i.e., power system stabilizer (PSS) and power oscillation damping (POD), that actuate together with the automatic voltage regulators of the synchronous generators and the static synchronous series compensator (SSSC), respectively, for damping low-frequency oscillations in power systems. The performance of the MOA is compared with the performances of the genetic algorithm (GA) and particle swarm optimization (PSO) algorithm for solving this problem. The dynamics of the power system is represented using the current sensitivity model, and, because of that, a current injections model is proposed for the SSSC, which uses proportional-integral (PI) controllers and the residues of the current injections at the buses, obtained from the Newton-Raphson method. Tests were carried out using the New England system and the two-area symmetrical system. Both static and dynamic analyses of the operation of the SSSC were performed. To validate the proposed optimization techniques, two sets of tests were conducted: first, with the purpose of verifying the performance of the most effective algorithm for tuning the parameters of PSSs, PI, and POD controllers, and second, with the purpose of performing studies focused on small-signal stability. The results have validated the current injections model for the SSSC, as well as have indicated the superior performance of the MOA for solving the problem, accrediting it as a powerful tool for small-signal stability studies in power systems.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Goias Fed Inst Educ Sci & Technol, Rua Maria Vieira Cunha 775, BR-75804714 Jatai, Go, BrazilParana Fed Inst Educ Sci & Technol, Av Doutor Tito S-N, BR-86400000 Jacarezinho, PR, BrazilUniv Fed Rural Semi Arido, Rua Francisco Mota 572, BR-59625900 Mossoro, RN, BrazilSao Paulo State Univ, Avenida Brasil 56, BR-15385000 Ilha Solteira, SP, BrazilSao Paulo State Univ, Avenida Brasil 56, BR-15385000 Ilha Solteira, SP, BrazilCAPES: 001CNPq: 305852/2017-5FAPESP: 2015/21972-6FAPESP: 2018/20355-1Wiley-BlackwellGoias Fed Inst Educ Sci & TechnolParana Fed Inst Educ Sci & TechnolUniv Fed Rural Semi AridoUniversidade Estadual Paulista (UNESP)Fortes, Elenilson V.Martins, Luis Fabiano BaroneCosta, Marcus V. S.Carvalho, LuisMacedo, Leonardo H. [UNESP]Romero, Ruben [UNESP]2022-11-30T15:01:13Z2022-11-30T15:01:13Z2022-04-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article23http://dx.doi.org/10.1155/2022/5612334International Transactions On Electrical Energy Systems. London: Wiley-hindawi, v. 2022, 23 p., 2022.2050-7038http://hdl.handle.net/11449/23791710.1155/2022/5612334WOS:000795095700001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Transactions On Electrical Energy Systemsinfo:eu-repo/semantics/openAccess2024-07-04T19:06:35Zoai:repositorio.unesp.br:11449/237917Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:27:44.857102Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power Systems |
title |
Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power Systems |
spellingShingle |
Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power Systems Fortes, Elenilson V. |
title_short |
Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power Systems |
title_full |
Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power Systems |
title_fullStr |
Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power Systems |
title_full_unstemmed |
Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power Systems |
title_sort |
Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power Systems |
author |
Fortes, Elenilson V. |
author_facet |
Fortes, Elenilson V. Martins, Luis Fabiano Barone Costa, Marcus V. S. Carvalho, Luis Macedo, Leonardo H. [UNESP] Romero, Ruben [UNESP] |
author_role |
author |
author2 |
Martins, Luis Fabiano Barone Costa, Marcus V. S. Carvalho, Luis Macedo, Leonardo H. [UNESP] Romero, Ruben [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Goias Fed Inst Educ Sci & Technol Parana Fed Inst Educ Sci & Technol Univ Fed Rural Semi Arido Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Fortes, Elenilson V. Martins, Luis Fabiano Barone Costa, Marcus V. S. Carvalho, Luis Macedo, Leonardo H. [UNESP] Romero, Ruben [UNESP] |
description |
In this paper, it is proposed to apply the mayfly optimization algorithm (MOA) to perform the coordinated and simultaneous tuning of the parameters of supplementary damping controllers, i.e., power system stabilizer (PSS) and power oscillation damping (POD), that actuate together with the automatic voltage regulators of the synchronous generators and the static synchronous series compensator (SSSC), respectively, for damping low-frequency oscillations in power systems. The performance of the MOA is compared with the performances of the genetic algorithm (GA) and particle swarm optimization (PSO) algorithm for solving this problem. The dynamics of the power system is represented using the current sensitivity model, and, because of that, a current injections model is proposed for the SSSC, which uses proportional-integral (PI) controllers and the residues of the current injections at the buses, obtained from the Newton-Raphson method. Tests were carried out using the New England system and the two-area symmetrical system. Both static and dynamic analyses of the operation of the SSSC were performed. To validate the proposed optimization techniques, two sets of tests were conducted: first, with the purpose of verifying the performance of the most effective algorithm for tuning the parameters of PSSs, PI, and POD controllers, and second, with the purpose of performing studies focused on small-signal stability. The results have validated the current injections model for the SSSC, as well as have indicated the superior performance of the MOA for solving the problem, accrediting it as a powerful tool for small-signal stability studies in power systems. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-30T15:01:13Z 2022-11-30T15:01:13Z 2022-04-26 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1155/2022/5612334 International Transactions On Electrical Energy Systems. London: Wiley-hindawi, v. 2022, 23 p., 2022. 2050-7038 http://hdl.handle.net/11449/237917 10.1155/2022/5612334 WOS:000795095700001 |
url |
http://dx.doi.org/10.1155/2022/5612334 http://hdl.handle.net/11449/237917 |
identifier_str_mv |
International Transactions On Electrical Energy Systems. London: Wiley-hindawi, v. 2022, 23 p., 2022. 2050-7038 10.1155/2022/5612334 WOS:000795095700001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Transactions On Electrical Energy Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
23 |
dc.publisher.none.fl_str_mv |
Wiley-Blackwell |
publisher.none.fl_str_mv |
Wiley-Blackwell |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808129205566701568 |