Specialized scatter search algorithm for optimal transmission switching with voltage control
Main Author: | |
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Publication Date: | 2024 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da UNESP |
Download full: | http://dx.doi.org/10.1016/j.epsr.2023.109985 https://hdl.handle.net/11449/299550 |
Summary: | This article presents a specialized scatter search (SS) algorithm to solve the optimal transmission switching (OTS) problem considering voltage control, with the objective of reducing operational costs. The nonlinear ac operation of the network is considered, and discrete variables are used to represent the states of the lines, positions of the taps of the transformers, and the states of shunt reactive compensators. The resulting formulation is a mixed-integer nonlinear programming problem, which is nonconvex and hard to solve. The proposed SS algorithm manages the discrete variables of the problem, which becomes a nonlinear programming (NLP) problem when the discrete variables are fixed. The NLP problem is then solved by an optimization solver, which returns all other continuous variables of the problem to the SS algorithm. Tests were conducted using eleven benchmark systems. The results indicated that the SS algorithm is efficient for solving the problem. |
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Specialized scatter search algorithm for optimal transmission switching with voltage controlOptimal power flowOptimizationScatter searchTransmission switchingVoltage controlThis article presents a specialized scatter search (SS) algorithm to solve the optimal transmission switching (OTS) problem considering voltage control, with the objective of reducing operational costs. The nonlinear ac operation of the network is considered, and discrete variables are used to represent the states of the lines, positions of the taps of the transformers, and the states of shunt reactive compensators. The resulting formulation is a mixed-integer nonlinear programming problem, which is nonconvex and hard to solve. The proposed SS algorithm manages the discrete variables of the problem, which becomes a nonlinear programming (NLP) problem when the discrete variables are fixed. The NLP problem is then solved by an optimization solver, which returns all other continuous variables of the problem to the SS algorithm. Tests were conducted using eleven benchmark systems. The results indicated that the SS algorithm is efficient for solving the problem.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Department of Exact Sciences University Center of Adamantina, Rua Nove de Julho, 730, Centro, SPDepartment of Electrical Engineering São Paulo State University, Avenida Brasil, 56, Centro, SPDepartment of Engineering São Paulo State University Avenida dos Barrageiros, 1881, Distrito de Primavera, SPDepartment of Electrical Engineering São Paulo State University, Avenida Brasil, 56, Centro, SPDepartment of Engineering São Paulo State University Avenida dos Barrageiros, 1881, Distrito de Primavera, SPFAPESP: 2015/21972-6FAPESP: 2018/20355-1FAPESP: 2019/19632-3CAPES: Finance Code 001University Center of AdamantinaUniversidade Estadual Paulista (UNESP)Garcia, André M. [UNESP]Macedo, Leonardo H. [UNESP]Romero, Rubén [UNESP]2025-04-29T18:42:48Z2024-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.epsr.2023.109985Electric Power Systems Research, v. 228.0378-7796https://hdl.handle.net/11449/29955010.1016/j.epsr.2023.1099852-s2.0-85177882962Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengElectric Power Systems Researchinfo:eu-repo/semantics/openAccess2025-04-30T13:24:32Zoai:repositorio.unesp.br:11449/299550Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-04-30T13:24:32Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Specialized scatter search algorithm for optimal transmission switching with voltage control |
title |
Specialized scatter search algorithm for optimal transmission switching with voltage control |
spellingShingle |
Specialized scatter search algorithm for optimal transmission switching with voltage control Garcia, André M. [UNESP] Optimal power flow Optimization Scatter search Transmission switching Voltage control |
title_short |
Specialized scatter search algorithm for optimal transmission switching with voltage control |
title_full |
Specialized scatter search algorithm for optimal transmission switching with voltage control |
title_fullStr |
Specialized scatter search algorithm for optimal transmission switching with voltage control |
title_full_unstemmed |
Specialized scatter search algorithm for optimal transmission switching with voltage control |
title_sort |
Specialized scatter search algorithm for optimal transmission switching with voltage control |
author |
Garcia, André M. [UNESP] |
author_facet |
Garcia, André M. [UNESP] Macedo, Leonardo H. [UNESP] Romero, Rubén [UNESP] |
author_role |
author |
author2 |
Macedo, Leonardo H. [UNESP] Romero, Rubén [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
University Center of Adamantina Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Garcia, André M. [UNESP] Macedo, Leonardo H. [UNESP] Romero, Rubén [UNESP] |
dc.subject.por.fl_str_mv |
Optimal power flow Optimization Scatter search Transmission switching Voltage control |
topic |
Optimal power flow Optimization Scatter search Transmission switching Voltage control |
description |
This article presents a specialized scatter search (SS) algorithm to solve the optimal transmission switching (OTS) problem considering voltage control, with the objective of reducing operational costs. The nonlinear ac operation of the network is considered, and discrete variables are used to represent the states of the lines, positions of the taps of the transformers, and the states of shunt reactive compensators. The resulting formulation is a mixed-integer nonlinear programming problem, which is nonconvex and hard to solve. The proposed SS algorithm manages the discrete variables of the problem, which becomes a nonlinear programming (NLP) problem when the discrete variables are fixed. The NLP problem is then solved by an optimization solver, which returns all other continuous variables of the problem to the SS algorithm. Tests were conducted using eleven benchmark systems. The results indicated that the SS algorithm is efficient for solving the problem. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-03-01 2025-04-29T18:42:48Z |
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/10.1016/j.epsr.2023.109985 Electric Power Systems Research, v. 228. 0378-7796 https://hdl.handle.net/11449/299550 10.1016/j.epsr.2023.109985 2-s2.0-85177882962 |
url |
http://dx.doi.org/10.1016/j.epsr.2023.109985 https://hdl.handle.net/11449/299550 |
identifier_str_mv |
Electric Power Systems Research, v. 228. 0378-7796 10.1016/j.epsr.2023.109985 2-s2.0-85177882962 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Electric Power Systems Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
repositoriounesp@unesp.br |
_version_ |
1834482862535999488 |