IEEE Transactions on Power Systems · 2020 · 34 citations · 10 references
Natural SciencesMathematicsDesign OptimizationEnergy EconomicsOptimizationCombinatorial OptimizationConvex OptimizationDiscrete OptimizationInteger ProgrammingOptimization TheoryPower OptimizationConvex EnvelopesMixed-integer ProgrammingPower Flow AnalysisPower System OptimizationSecond-order Cone ProgrammingSemidefinite ProgrammingSemidefinite Programming RelaxationSemidefinite Relaxation
In this letter, we present an alternative mixed-integer non-linear programming formulation of the reactive optimal power flow (ROPF) problem. We utilize a mixed-integer second-order cone programming (MISOCP) based approach to find global optimal solutions of the proposed ROPF problem formulation. We strengthen the MISOCP relaxation via the addition of convex envelopes and cutting planes. Computational experiments on challenging test cases show that the MISOCP-based approach yields promising results compared to a semidefinite programming based approach from the literature.
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