Solving large-scale reactive optimal power flow problems by a primal-dual \(\mathrm{M}^2\mathrm{BF}\) approach
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Publication:779763
DOI10.1007/s11081-019-09451-4zbMath1447.90043OpenAlexW2955591463MaRDI QIDQ779763
Ricardo B. N. M. Pinheiro, Leonardo Nepomuceno, Antonio Roberto Balbo
Publication date: 14 July 2020
Published in: Optimization and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11081-019-09451-4
augmented Lagrangian methodsinterior/exterior-point methodoptimal reactive power flowprimal-dual \(\mathrm{M}^2\mathrm{BF}\)
Large-scale problems in mathematical programming (90C06) Applications of mathematical programming (90C90) Nonconvex programming, global optimization (90C26)
Uses Software
Cites Work
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- Modified barrier functions (theory and methods)
- Nonlinear rescaling and proximal-like methods in convex optimization
- Lagrangian transformation and interior ellipsoid methods in convex optimization
- Solving security constrained optimal power flow problems by a structure exploiting interior point method
- A new predictor-corrector method for optimal power flow
- Primal-dual nonlinear rescaling method with dynamic scaling parameter update
- A variation on Karmarkar’s algorithm for solving linear programming problems
- A new family of penalties for augmented Lagrangian methods
- Entropic Proximal Mappings with Applications to Nonlinear Programming
- Nonlinear Programming
- On Information and Sufficiency