Backward reduction application for minimizing wind power scenarios in stochastic programming

• Main Authors: Muhamad Razali N.M., Hashim A.H.
• Other Authors: 36440450000
• Format: Conference Paper
• Published: 2023
• Subjects: Scenario reduction; Stochastic programming; Wind power; Computational complexity; Electric power generation; Optimization; Risk analysis; Risk management; Stochastic systems; Stream flow; Electrical load; Electricity prices; Generation scheduling; Informed decision; Malaysia; Management problems; New applications; Power systems; Power utility; Random data; Reduction techniques; Renewable sources; Electric generators
• Institution: Universiti Tenaga Nasional

In order to make informed decisions in the presence of uncertainties, risk management problems of power utilities may be modelled by multistage stochastic programs. These programs use a set of scenarios (or plausible realizations) and corresponding probabilities to model the multivariate random data...