Interior Point methods for Nonlinear Programming have been extensively used to solve the Optimal Power Flow problem. These optimization algorithms require the solution of a set of nonlinear equations to obtain the optimal solution of the power network equations. During the iterative process to solve these equations, the search for the optimum is based on the combination of two directions: the affine-scaling and the centralization. In this work, it is shown that the suitable combination of these directions can increase the potential of the optimization algorithm in terms of speed and reliability. Real size and test networks are used to assess the performance of the presented methods.
Proceedings of the IEEE/PES T&D 2002 Latin America. March 18 to 22, 2002, São Paulo, Brazil
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