Interior-point based algorithms for the solution of optimal power flow problems

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Redispatching Active and Reactive Powers Using a Limited Number of Control Actions (2011, methodology): “In all our trials, we have solved the conventional OPF problems by the OPF program [19], which uses the interior point method, and we have solved the MILP problems by the GLPK-v4.”
Exact Convex Relaxation of Optimal Power Flow in Radial Networks (2013, background): “Some of these algorithms, especially the Newton-Ralphson based ones, are quite successful empirically, but in general, these algorithms are not guaranteed to convergence, nor converge to (nearly) optimal solutions.”
Sensitivity-Based Approaches for Handling Discrete Variables in Optimal Power Flow Computations (2010, methodology): “In all our trials, we use the interior point OPF solver described in [ 24 ].”
Optimal Power Flow Using an Extended Conic Quadratic Formulation (2008, methodology): “In retrospect, previous research on interior-point OPF programs reported the use of the voltage polar coordinates model [8], [9], [12], [16], [17], the voltage rectangular model [10], [11], [13], and the current mismatch formulation [22].”
Experiments with the interior-point method for solving large scale optimal power flow problems (2013, methodology): “Unless otherwise specified, we use the default settings of the MCC algorithm [35] in all computations to enable a fair assessment of the performances of the algorithm.”