A Unified MILP Solution Framework for Adaptive Robust Scheduling Problems With Mixed-Integer Recourse Objective
Haifeng Qiu, Hoay Beng Gooi
Abstract
To mitigate the high computational cost of adaptive robust optimization with a mixed-integer recourse objective in real-world power scheduling, a unified mixed-integer linear programming (MILP) solution framework is proposed in this paper. Numerical tests verify the superiority and practicability of the proposed solution framework over the existing decomposition-based solution algorithms.
Topics & Concepts
Mathematical optimizationInteger programmingScheduling (production processes)Linear programmingComputer scienceBenders' decompositionInteger (computer science)Branch and priceElectric power systemPower system simulationPower (physics)MathematicsQuantum mechanicsProgramming languagePhysicsElectric Power System OptimizationSmart Grid Energy ManagementOptimal Power Flow Distribution