Solving large-scale reactive optimal power flow problems by a primal–dual M 2BF approach
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Data
2019-01-01
Autores
Pinheiro, Ricardo B. N. M. [UNESP]
Nepomuceno, Leonardo [UNESP]
Balbo, Antonio R. [UNESP]
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Resumo
In this paper, we propose a predictor–corrector primal–dual approach for the doubly modified logarithmic barrier function (M 2BF) method in order to solve Optimal Reactive Power Flow (ORPF) problems. The M 2BF is a modification of the Polyak’s modified logarithmic barrier function (MBF) and is also a particular element of a recent family of nonquadratic penalty functions for augmented Lagrangian methods for handling convex problems only with inequality constraints. We also propose a global convergence strategy to be inserted in the proposed algorithm, which is developed over weak assumptions concerning the primal Hessian matrix. The resulting predictor–corrector primal–dual M 2BF approach is applied for solving ORPF problems involving power systems with 57, 89, 118, 200, 300, 1354, 2007 and 2869 buses. A comparison with two state-of-the-art methods is performed. Numerical results show that the proposed approach is competitive and capable of solving ORPF problems for small to large-scale power systems.
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Palavras-chave
Augmented Lagrangian methods, Interior/exterior-point method, Optimal Reactive Power Flow, Primal–dual M 2BF
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Optimization and Engineering.