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Accelerating L-shaped Two-stage Stochastic SCUC with Learning Integrated Benders Decomposition
Useful cuts are iteratively added to the master problem, and non-useful cuts are discarded to reduce the computational burden of each Benders iteration.
Optimal Power Flow Solutions via Noise-Resilient Quantum-Inspired Interior-Point Methods
The efficacy of the proposed quantum IPM variants is studied through comprehensive simulations and error analyses on 3-bus, 5-bus, 118-bus, and 300-bus systems, highlighting their potential and promise in addressing challenging OPF scenarios.
Hybrid Learning Aided Inactive Constraints Filtering Algorithm to Enhance AC OPF Solution Time
Numerical results on several test systems show the effectiveness of the proposed algorithm for predicting active and inactive constraints and constructing a truncated AC OPF.
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