An application of CHA to concurrent short-term transmission expansion & reactive power planning
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/PTC.2011.6019283 http://hdl.handle.net/11449/72739 |
Resumo: | In this paper a heuristic technique for solving simultaneous short-term transmission network expansion and reactive power planning problem (TEPRPP) via an AC model is presented. A constructive heuristic algorithm (CHA) aimed to obtaining a significant quality solution for such problem is employed. An interior point method (IPM) is applied to solve TEPRPP as a nonlinear programming (NLP) during the solution steps of the algorithm. For each proposed network topology, an indicator is deployed to identify the weak buses for reactive power sources placement. The objective function of NLP includes the costs of new transmission lines, real power losses as well as reactive power sources. By allocating reactive power sources at load buses, the circuit capacity may increase while the cost of new lines can be decreased. The proposed methodology is tested on Garver's system and the obtained results shows its capability and the viability of using AC model for solving such non-convex optimization problem. © 2011 IEEE. |
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An application of CHA to concurrent short-term transmission expansion & reactive power planningConstructive heuristic algorithmNon-convex optimizationReactive power planningTransmission expansion planningHeuristic techniquesInterior point methodsNetwork topologyNonconvex optimizationObjective functionsReal power lossTransmission expansionTransmission network expansionConvex optimizationElectric network topologyExpansionHeuristic algorithmsHeuristic methodsNonlinear programmingOptimizationSustainable developmentReactive powerIn this paper a heuristic technique for solving simultaneous short-term transmission network expansion and reactive power planning problem (TEPRPP) via an AC model is presented. A constructive heuristic algorithm (CHA) aimed to obtaining a significant quality solution for such problem is employed. An interior point method (IPM) is applied to solve TEPRPP as a nonlinear programming (NLP) during the solution steps of the algorithm. For each proposed network topology, an indicator is deployed to identify the weak buses for reactive power sources placement. The objective function of NLP includes the costs of new transmission lines, real power losses as well as reactive power sources. By allocating reactive power sources at load buses, the circuit capacity may increase while the cost of new lines can be decreased. The proposed methodology is tested on Garver's system and the obtained results shows its capability and the viability of using AC model for solving such non-convex optimization problem. © 2011 IEEE.Department of Electrical Engineering Shahid Bahonar University of Kerman, KermanIranian Association of Electrical and Electronics Engineers Kerman Branch, KermanElectrical Engineering Department Universidade Estadual Paulista Campus Ilha Solteira, SPElectrical Engineering Department Universidade Estadual Paulista Campus Ilha Solteira, SPShahid Bahonar University of KermanKerman BranchUniversidade Estadual Paulista (Unesp)Mahmoudabadi, A.Rashidinejad, M.Mohammadian, M.Zeinaddini Maymand, M.Rahmani, M. [UNESP]Khorasani, H. [UNESP]2014-05-27T11:26:03Z2014-05-27T11:26:03Z2011-10-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PTC.2011.60192832011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011.http://hdl.handle.net/11449/7273910.1109/PTC.2011.60192832-s2.0-80053367399Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011info:eu-repo/semantics/openAccess2024-07-04T19:11:44Zoai:repositorio.unesp.br:11449/72739Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:24:24.712303Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
An application of CHA to concurrent short-term transmission expansion & reactive power planning |
title |
An application of CHA to concurrent short-term transmission expansion & reactive power planning |
spellingShingle |
An application of CHA to concurrent short-term transmission expansion & reactive power planning Mahmoudabadi, A. Constructive heuristic algorithm Non-convex optimization Reactive power planning Transmission expansion planning Heuristic techniques Interior point methods Network topology Nonconvex optimization Objective functions Real power loss Transmission expansion Transmission network expansion Convex optimization Electric network topology Expansion Heuristic algorithms Heuristic methods Nonlinear programming Optimization Sustainable development Reactive power |
title_short |
An application of CHA to concurrent short-term transmission expansion & reactive power planning |
title_full |
An application of CHA to concurrent short-term transmission expansion & reactive power planning |
title_fullStr |
An application of CHA to concurrent short-term transmission expansion & reactive power planning |
title_full_unstemmed |
An application of CHA to concurrent short-term transmission expansion & reactive power planning |
title_sort |
An application of CHA to concurrent short-term transmission expansion & reactive power planning |
author |
Mahmoudabadi, A. |
author_facet |
Mahmoudabadi, A. Rashidinejad, M. Mohammadian, M. Zeinaddini Maymand, M. Rahmani, M. [UNESP] Khorasani, H. [UNESP] |
author_role |
author |
author2 |
Rashidinejad, M. Mohammadian, M. Zeinaddini Maymand, M. Rahmani, M. [UNESP] Khorasani, H. [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Shahid Bahonar University of Kerman Kerman Branch Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Mahmoudabadi, A. Rashidinejad, M. Mohammadian, M. Zeinaddini Maymand, M. Rahmani, M. [UNESP] Khorasani, H. [UNESP] |
dc.subject.por.fl_str_mv |
Constructive heuristic algorithm Non-convex optimization Reactive power planning Transmission expansion planning Heuristic techniques Interior point methods Network topology Nonconvex optimization Objective functions Real power loss Transmission expansion Transmission network expansion Convex optimization Electric network topology Expansion Heuristic algorithms Heuristic methods Nonlinear programming Optimization Sustainable development Reactive power |
topic |
Constructive heuristic algorithm Non-convex optimization Reactive power planning Transmission expansion planning Heuristic techniques Interior point methods Network topology Nonconvex optimization Objective functions Real power loss Transmission expansion Transmission network expansion Convex optimization Electric network topology Expansion Heuristic algorithms Heuristic methods Nonlinear programming Optimization Sustainable development Reactive power |
description |
In this paper a heuristic technique for solving simultaneous short-term transmission network expansion and reactive power planning problem (TEPRPP) via an AC model is presented. A constructive heuristic algorithm (CHA) aimed to obtaining a significant quality solution for such problem is employed. An interior point method (IPM) is applied to solve TEPRPP as a nonlinear programming (NLP) during the solution steps of the algorithm. For each proposed network topology, an indicator is deployed to identify the weak buses for reactive power sources placement. The objective function of NLP includes the costs of new transmission lines, real power losses as well as reactive power sources. By allocating reactive power sources at load buses, the circuit capacity may increase while the cost of new lines can be decreased. The proposed methodology is tested on Garver's system and the obtained results shows its capability and the viability of using AC model for solving such non-convex optimization problem. © 2011 IEEE. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-10-05 2014-05-27T11:26:03Z 2014-05-27T11:26:03Z |
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 |
http://dx.doi.org/10.1109/PTC.2011.6019283 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011. http://hdl.handle.net/11449/72739 10.1109/PTC.2011.6019283 2-s2.0-80053367399 |
url |
http://dx.doi.org/10.1109/PTC.2011.6019283 http://hdl.handle.net/11449/72739 |
identifier_str_mv |
2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011. 10.1109/PTC.2011.6019283 2-s2.0-80053367399 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011 |
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 |
|
_version_ |
1808129063337852928 |