Heuristic algorithm to solve the short term transmission network expansion planning

Bibliographic Details
Main Author: Rider, Marcos J.
Publication Date: 2007
Other Authors: Gallego, Luis A. [UNESP], Romero, Ruben [UNESP], Garcia, Ariovaldo V., IEEE
Format: Conference object
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://hdl.handle.net/11449/195888
Summary: In this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion in the search space. In order to find a solution of excellent quality for this problem, a constructive heuristic algorithm is presented in this paper. In each step of the algorithm, a sensitivity index is used to add a circuit (transmission line or transformer) or a capacitor bank (fixed or variable) to the system. This sensitivity index is obtained solving the problem considering the numbers of circuits and capacitors banks to be added (relaxed problem), as continuous variables. The relaxed problem is a large and complex nonlinear programming and was solved through a higher order interior point method. The paper shows results of several tests that were performed using three well-known electric energy systems in order to show the possibility and the advantages of using the AC model.
id UNSP_51c3ae9e50219b8d7d44891eceb4c86a
oai_identifier_str oai:repositorio.unesp.br:11449/195888
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Heuristic algorithm to solve the short term transmission network expansion planningtransmission network expansion planningAC modelconstructive heuristic algorithmsmixed integer nonlinear programmingIn this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion in the search space. In order to find a solution of excellent quality for this problem, a constructive heuristic algorithm is presented in this paper. In each step of the algorithm, a sensitivity index is used to add a circuit (transmission line or transformer) or a capacitor bank (fixed or variable) to the system. This sensitivity index is obtained solving the problem considering the numbers of circuits and capacitors banks to be added (relaxed problem), as continuous variables. The relaxed problem is a large and complex nonlinear programming and was solved through a higher order interior point method. The paper shows results of several tests that were performed using three well-known electric energy systems in order to show the possibility and the advantages of using the AC model.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Estadual Campinas, Dept Elect Energy Syst, Campinas, SP, BrazilUniv Estadual Paulista, Dept Ilha Solteira, Elect Engn, Ilha Solteir, SP, BrazilUniv Estadual Paulista, Dept Ilha Solteira, Elect Engn, Ilha Solteir, SP, BrazilIeeeUniversidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Rider, Marcos J.Gallego, Luis A. [UNESP]Romero, Ruben [UNESP]Garcia, Ariovaldo V.IEEE2020-12-10T18:06:53Z2020-12-10T18:06:53Z2007-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject651-+2007 Ieee Power Engineering Society General Meeting, Vols 1-10. New York: Ieee, p. 651-+, 2007.1932-5517http://hdl.handle.net/11449/195888WOS:000251345400124Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2007 Ieee Power Engineering Society General Meeting, Vols 1-10info:eu-repo/semantics/openAccess2024-07-04T19:07:14Zoai:repositorio.unesp.br:11449/195888Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-03-28T14:36:33.765892Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Heuristic algorithm to solve the short term transmission network expansion planning
title Heuristic algorithm to solve the short term transmission network expansion planning
spellingShingle Heuristic algorithm to solve the short term transmission network expansion planning
Rider, Marcos J.
transmission network expansion planning
AC model
constructive heuristic algorithms
mixed integer nonlinear programming
title_short Heuristic algorithm to solve the short term transmission network expansion planning
title_full Heuristic algorithm to solve the short term transmission network expansion planning
title_fullStr Heuristic algorithm to solve the short term transmission network expansion planning
title_full_unstemmed Heuristic algorithm to solve the short term transmission network expansion planning
title_sort Heuristic algorithm to solve the short term transmission network expansion planning
author Rider, Marcos J.
author_facet Rider, Marcos J.
Gallego, Luis A. [UNESP]
Romero, Ruben [UNESP]
Garcia, Ariovaldo V.
IEEE
author_role author
author2 Gallego, Luis A. [UNESP]
Romero, Ruben [UNESP]
Garcia, Ariovaldo V.
IEEE
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Rider, Marcos J.
Gallego, Luis A. [UNESP]
Romero, Ruben [UNESP]
Garcia, Ariovaldo V.
IEEE
dc.subject.por.fl_str_mv transmission network expansion planning
AC model
constructive heuristic algorithms
mixed integer nonlinear programming
topic transmission network expansion planning
AC model
constructive heuristic algorithms
mixed integer nonlinear programming
description In this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion in the search space. In order to find a solution of excellent quality for this problem, a constructive heuristic algorithm is presented in this paper. In each step of the algorithm, a sensitivity index is used to add a circuit (transmission line or transformer) or a capacitor bank (fixed or variable) to the system. This sensitivity index is obtained solving the problem considering the numbers of circuits and capacitors banks to be added (relaxed problem), as continuous variables. The relaxed problem is a large and complex nonlinear programming and was solved through a higher order interior point method. The paper shows results of several tests that were performed using three well-known electric energy systems in order to show the possibility and the advantages of using the AC model.
publishDate 2007
dc.date.none.fl_str_mv 2007-01-01
2020-12-10T18:06:53Z
2020-12-10T18:06:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 2007 Ieee Power Engineering Society General Meeting, Vols 1-10. New York: Ieee, p. 651-+, 2007.
1932-5517
http://hdl.handle.net/11449/195888
WOS:000251345400124
identifier_str_mv 2007 Ieee Power Engineering Society General Meeting, Vols 1-10. New York: Ieee, p. 651-+, 2007.
1932-5517
WOS:000251345400124
url http://hdl.handle.net/11449/195888
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2007 Ieee Power Engineering Society General Meeting, Vols 1-10
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 651-+
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
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 repositoriounesp@unesp.br
_version_ 1834483027615416320