Wind power generation scenario analysis diagram

What is a wind power scenario?

Scenarios are possible sets of random wind power inputs with definite probability [ 2, 3 ]. The generation of quality scenarios is essential to model wind power uncertainty in decision-making problems through a stochastic programming approach. Several methods have been proposed in the literature to generate wind power scenarios.

How can a forecasting model be used to generate wind power scenarios?

The proposed method can be enhanced by applying adaptive and non-linear forecasting models with time-varying parameters to generate wind power scenarios. The proposed work could be extended to generate load, solar generation, and price scenarios for different power systems and electricity markets applications.

How can the wind power scenario generation method be improved?

The wind power scenario generation method can be further improved by incorporating the R-Vine copula and the multivariate time series forecasting model, which capture the asymmetrical tail dependency that occurs in wind generation without making any assumptions about distribution types.

How to generate scenarios for wind power generation and market prices?

Jamali et al. utilized a roulette-wheel mechanism to generate scenarios for wind power generation and market prices using the Kantorovich distance index to reduce the number of scenarios . This method in has also been applied to establish the uncertainty model of wind power and load demand. 4. Evaluation of SG methods

How to model wind power uncertainty in decision-making problems?

The generation of quality scenarios is essential to model wind power uncertainty in decision-making problems through a stochastic programming approach. Several methods have been proposed in the literature to generate wind power scenarios. These are fundamentally categorized as path-based methods, movement matching, and internal sampling.

Can path-based models accurately represent the stochastic nature of wind power?

Due to the use of advanced forecasting methods for scenario generation, path-based methods can accurately represent the stochastic nature of wind power. This paper focuses on expanding the use of path-based concept for wind power generation scenarios considering spatiotemporal correlation between multiple WFs.