1994
DOI: 10.1109/59.336133
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The quadratic interior point method solving power system optimization problems

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Cited by 162 publications
(65 citation statements)
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“…Primal-Dual interior point based solution methods have been applied to the KKT-conditions (3) of non-linear OPF-problem formulations [9,10,11,12,13,14,15]. All these approaches solve a linear system of equations per Newton-Raphson step.…”
Section: Class B2: Interior Pointmentioning
confidence: 99%
See 1 more Smart Citation
“…Primal-Dual interior point based solution methods have been applied to the KKT-conditions (3) of non-linear OPF-problem formulations [9,10,11,12,13,14,15]. All these approaches solve a linear system of equations per Newton-Raphson step.…”
Section: Class B2: Interior Pointmentioning
confidence: 99%
“…The goal of this algorithm is the solution of the transformed optimality conditions as presented in (11). This solution is achieved by a simple Newton-Raphson algorithm as derived in the following subsection using no logarithmic barrier parameter and no step length control to stay within the feasible space (note: the feasible space is infinite for all variables).…”
Section: Transformed Kkt Optimality Conditionsmentioning
confidence: 99%
“…Classical optimization methods, such as gradient based optimization algorithm [1,2], quadratic programming, non linear programming [3] and interior point method [4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…In [63] , a modifi ed IP DAS algorithm was proposed. In [64] , an interior point method was proposed for linear and convex quadratic programming. It is used to solve power system optimization problems such as economic dispatch and reactive power planning.…”
Section: Development Of Optimization Techniques In Opf Solutionsmentioning
confidence: 99%