Optimal reactive power flow via the modified barrier Lagrangian function approach


Autoria(s): de Sousa, V. A.; Baptista, Edméa Cássia; da Costa, G. R. M.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/03/2012

Resumo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A new approach called the Modified Barrier Lagrangian Function (MBLF) to solve the Optimal Reactive Power Flow problem is presented. In this approach, the inequality constraints are treated by the Modified Barrier Function (MBF) method, which has a finite convergence property: i.e. the optimal solution in the MBF method can actually be in the bound of the feasible set. Hence, the inequality constraints can be precisely equal to zero. Another property of the MBF method is that the barrier parameter does not need to be driven to zero to attain the solution. Therefore, the conditioning of the involved Hessian matrix is greatly enhanced. In order to show this, a comparative analysis of the numeric conditioning of the Hessian matrix of the MBLF approach, by the decomposition in singular values, is carried out. The feasibility of the proposed approach is also demonstrated with comparative tests to Interior Point Method (IPM) using various IEEE test systems and two networks derived from Brazilian generation/transmission system. The results show that the MBLF method is computationally more attractive than the IPM in terms of speed, number of iterations and numerical conditioning. (C) 2011 Elsevier B.V. All rights reserved.

Formato

159-164

Identificador

http://dx.doi.org/10.1016/j.epsr.2011.11.001

Electric Power Systems Research. Lausanne: Elsevier B.V. Sa, v. 84, n. 1, p. 159-164, 2012.

0378-7796

http://hdl.handle.net/11449/8597

10.1016/j.epsr.2011.11.001

WOS:000300484600018

Idioma(s)

eng

Publicador

Elsevier B.V. Sa

Relação

Electric Power Systems Research

Direitos

closedAccess

Palavras-Chave #Modified barrier function #Interior point method #Nonlinear programming #Optimal power flow
Tipo

info:eu-repo/semantics/article