Backward reduction application for minimizing wind power scenarios in stochastic programming

• 主要な著者: Muhamad Razali N.M., Hashim A.H.
• その他の著者: 36440450000
• フォーマット: Conference Paper
• 出版事項: 2023
• 主題: 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

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...