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Master's Dissertation
DOI
https://doi.org/10.11606/D.18.2002.tde-02062017-104334
Document
Author
Full name
Leandro Sereno Pereira
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2002
Supervisor
Committee
Costa, Geraldo Roberto Martins da (President)
Carneiro, Adriano Alber de França Mendes
Pereira, José Luiz Rezende
Title in Portuguese
Despacho ativo com restrição na transmissão via método de barreira logarítmica
Keywords in Portuguese
Condições de KKT
Fluxo de potência ótimo
Método primal-dual barreira logarítmica
Programação não linear
Sistemas elétricos de potência
Abstract in Portuguese
Este trabalho apresenta uma abordagem do método da função barreira logarítmica (MFBL) para a resolução do problema de fluxo de potência ótimo (FPO). A pesquisa fundamenta-se metodologicamente na função barreira logarítmica e nas condições de primeira ordem de Karush-Kuhn-Tucker (KKT). Para a solução do sistema de equações resultantes das condições de estacionaridade, da função Lagrangiana, utiliza-se o método de Newton. Na implementação computacional utiliza-se técnicas de esparsidade. Através dos resultados numéricos dos testes realizados em 5 sistemas (3, 8, 14, 30 e 118 barras) evidencia-se o potencial desta metodologia na solução do problema de FPO.
Title in English
Active despach with transmission restriction using logarithmic barrier method
Keywords in English
Barrier method
KKT conditions
Nonlinear programming
Optimal power flow
Power systems
Primal-dual logarithmic
Abstract in English
This work describes an approach on logarithmic barrier function method to solving the optimal power flow (OPF) problem. Search was based on the logarithmic barrier function and first order conditions of Karush-Kuhn-Tucker (KKT). To solve the equation system, obtained from the stationary conditions of the Lagrangian function, is used the Newton method. Implementation is performed using sparsity techniques. The numerical results, carried out in five systems (3, 8, 14, 30 and 118 bus), demonstrate the reliability of this approach in the solution OPF problem.
 
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Publishing Date
2017-06-02
 
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