Mathematical decomposition technique applied to the probabilistic power flow problem

Página do item simplificado
dc.contributor.authorMauricio, Granada E. [UNESP]
dc.contributor.authorRider, Marcos J. [UNESP]
dc.contributor.authorMantovani, J. R S [UNESP]
dc.contributor.institutionUniversidad Tecnológica de Pereira
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:25:53Z
dc.date.available2014-05-27T11:25:53Z
dc.date.issued2011-05-31
dc.description.abstractIn this paper a framework based on the decomposition of the first-order optimality conditions is described and applied to solve the Probabilistic Power Flow (PPF) problem in a coordinated but decentralized way in the context of multi-area power systems. The purpose of the decomposition framework is to solve the problem through a process of solving smaller subproblems, associated with each area of the power system, iteratively. This strategy allows the probabilistic analysis of the variables of interest, in a particular area, without explicit knowledge of network data of the other interconnected areas, being only necessary to exchange border information related to the tie-lines between areas. An efficient method for probabilistic analysis, considering uncertainty in n system loads, is applied. The proposal is to use a particular case of the point estimate method, known as Two-Point Estimate Method (TPM), rather than the traditional approach based on Monte Carlo simulation. The main feature of the TPM is that it only requires resolve 2n power flows for to obtain the behavior of any random variable. An iterative coordination algorithm between areas is also presented. This algorithm solves the Multi-Area PPF problem in a decentralized way, ensures the independent operation of each area and integrates the decomposition framework and the TPM appropriately. The IEEE RTS-96 system is used in order to show the operation and effectiveness of the proposed approach and the Monte Carlo simulations are used to validation of the results. © 2011 IEEE.en
dc.description.affiliationDepartment of Electrical Engineering Universidad Tecnológica de Pereira
dc.description.affiliationElectric Power System Planning Laboratory UNESP
dc.description.affiliationFaculdade de Engenharia de Ilha Solteira UNESP - Universidade Estadual Paulista
dc.description.affiliationUnespElectric Power System Planning Laboratory UNESP
dc.description.affiliationUnespFaculdade de Engenharia de Ilha Solteira UNESP - Universidade Estadual Paulista
dc.format.extent139-146
dc.identifierhttp://dx.doi.org/10.1109/TDC-LA.2010.5762874
dc.identifier.citation2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 139-146.
dc.identifier.doi10.1109/TDC-LA.2010.5762874
dc.identifier.lattes0614021283361265
dc.identifier.scopus2-s2.0-79957560508
dc.identifier.urihttp://hdl.handle.net/11449/72446
dc.language.isoeng
dc.relation.ispartof2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectdecentralized coordination
dc.subjectDecomposition methods
dc.subjectMA-PPF
dc.subjectmulti-area power systems
dc.subjectprobabilistic power flow
dc.subjectDecentralized coordination
dc.subjectMulti area power systems
dc.subjectProbabilistic power flow
dc.subjectAlgorithms
dc.subjectComputer simulation
dc.subjectElectric power transmission
dc.subjectKnowledge management
dc.subjectMonte Carlo methods
dc.subjectPower transmission
dc.subjectProbability distributions
dc.subjectRandom variables
dc.subjectThermoelectric power
dc.subjectUncertainty analysis
dc.subjectProblem solving
dc.titleMathematical decomposition technique applied to the probabilistic power flow problemen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.author.lattes0614021283361265
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt

Arquivos

Coleções

Artigos - Engenharia Elétrica - FEIS