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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/8595
Title: 
Loss minimization by the predictor-corrector modified barrier approach
Author(s): 
Institution: 
  • Universidade de São Paulo (USP)
  • Universidade Estadual Paulista (UNESP)
ISSN: 
0378-7796
Sponsorship: 
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Abstract: 
This paper presents a new approach, predictor-corrector modified barrier approach (PCMBA), to minimize the active losses in power system planning studies. In the PCMBA, the inequality constraints are transformed into equalities by introducing positive auxiliary variables. which are perturbed by the barrier parameter, and treated by the modified barrier method. The first-order necessary conditions of the Lagrangian function are solved by predictor-corrector Newton's method. The perturbation of the auxiliary variables results in an expansion of the feasible set of the original problem, reaching the limits of the inequality constraints. The feasibility of the proposed approach is demonstrated using various IEEE test systems and a realistic power system of 2256-bus corresponding to the Brazilian South-Southeastern interconnected system. The results show that the utilization of the predictor-corrector method with the pure modified barrier approach accelerates the convergence of the problem in terms of the number of iterations and computational time. (C) 2008 Elsevier B.V. All rights reserved.
Issue Date: 
1-May-2009
Citation: 
Electric Power Systems Research. Lausanne: Elsevier B.V. Sa, v. 79, n. 5, p. 803-808, 2009.
Time Duration: 
803-808
Publisher: 
Elsevier B.V. Sa
Keywords: 
  • Optimal power flow
  • Modified barrier method
  • Perturbation of constraints
  • Newton's method
Source: 
http://dx.doi.org/10.1016/j.epsr.2008.10.014
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/8595
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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