6m715u

Volume 11 number 2

Pages: 176-181

A Largest-Step Central-Path Algorithm Applied to the Optimal Power Flow Problem

Edgardo Daniel Castronuovo, Jorge M. Campagnolo, Roberto Salgado

    Federal University of Santa Catarina
    CTC - EEL LABSPOT Campus Universitrio Trindade
    Caixa Postal 476 88040-900 Florianpolis SC Brazil
    E-Mail: {edgardo, campagno, salgado}@labspot.ufsc.br
Resumo: Um algoritmo de mximo o na trajetria central aplicado ao problema de fluxo timo de potncia
Os mtodos no-lineares Primal-Duais de Pontos Interiores tm sido reconhecidos como ferramentas numricas de grande potencial para resolver problemas de otimizao s em sistemas de potncia eltrica. Atualmente, novas verses deste algoritmo tm sido propostas na rea da programao matemtica. Neste trabalho, analisada a aplicao do algoritmo de Mximo o na Trajetria Central ao problema de Fluxo de Potncia timo. O algoritmo utilizado prope uma trajetria de busca prxima ao caminho central para atingir a soluo tima. Testes com sistemas reais so utilizados para analisar o comportamento da metodologia proposta.
Palavras Chave: Otimizao, Programao No Linear, Fluxo de Potncia timo, Mtodo Primal-Dual de Pontos Interiores
Abstract:
Nonlinear Primal-Dual Interior Point methods have been recognized as a numerical tool of great potential to solve constrained optimization problems in electric power systems. Recently, a number of versions of the primal-dual Interior Point algorithm have been proposed in the area of mathematical programming. In this work, the application of the Largest-Step Central-Path algorithm to the Optimal Power Flow problem is analyzed. This algorithm is based on following a central trajectory to reach the optimal solution. Tests with real systems are used to assess the performance of the proposed methodology.
Keywords: Optimization, Nonlinear Programming, Optimal Power Flow, Primal-Dual Interior Point method.

PDF copy (74 kbytes)

Back to Volume 11 index.

Click here to obtain
get acrobat reader 		Last modifications:
by jro