An application of CHA to concurrent short-term transmission expansion & reactive power planning

Detalhes bibliográficos
Autor(a) principal: Mahmoudabadi, A.
Data de Publicação: 2011
Outros Autores: Rashidinejad, M., Mohammadian, M., Zeinaddini Maymand, M., Rahmani, M. [UNESP], Khorasani, H. [UNESP]
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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spelling 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
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