We present a primal-dual interior-point algorithm with a filter line-search method for nonlinear programming. Local and global convergence properties of this method were analyzed in previous work.
PROC NETFLOW uses the Primal Simplex Network algorithm and the Primal Partitioning Algorithm to solve constrained network problems. These algorithms are fast, since they take advantage of algebraic ...
Abstract: A new algorithm using the primal-dual interior point method with the predictor-corrector for solving nonlinear optimal power flow (OPF) problems is presented. The formulation and the ...
Abstract: This paper solves the problem of power system reactive power optimization with discrete variables based on interior point filter algorithm and complementarity theory which aims to deal with ...
Interior point methods have revolutionised the field of optimisation over the past few decades, offering robust and efficient alternatives to traditional simplex and iterative algorithms. These ...
We present a general framework whereby analysis of interior-point algorithms for semidefinite programming can be extended verbatim to optimization problems over all classes of symmetric cones ...
China Electric Power Research Institute, Beijing, China. Gansu Electric Power Corporation, Lanzhou, China. Northeast China Grid Company, Shenyang, China. Considering the soft constraint ...
ABSTRACT: Considering the soft constraint characteristics of voltage constraints, the Interior-Point Filter Algorithm is applied to solve the formulation of fuzzy model for the power system reactive ...
Data for a linear programming problem resembles the data for side constraints and nonarc variables supplied to PROC NETFLOW when solving a constrained network problem. It is also very similar to the ...
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