What are the types of wind power generation scenarios

How to achieve scenario generation for wind power?

In recent years, several methods have been proposed to achieve scenario generation (SG) for wind power. The current SG methods can be divided into three main classes: sampling-based methods , forecasting-based methods , , and optimization-based methods , . This paper describes, discusses in detail, and summarizes these SG methods.

How are wind power scenarios generated?

The commonly used method for wind power scenario generation can be divided into two categories, namely parametric and non-parametric approaches. Parametric approaches are based on the assumption about probability distribution and then scenarios are generated via sampling such as Monte Carlo sampling (MCS) or Latin Hypercube sampling (LHS).

What is wind power scenario forecast?

Wind power scenario forecast is a primary step for probabilistic modelling of power systems’ operation and planning problems in stochastic programming framework considering uncertainties. Several models have been proposed in the literature to generate wind power scenarios using statistical and machine learning approaches.

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 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.

What are the applications of scenario generation methods?

The applications of scenario generation methods are summarized and discussed. Limitations and challenges of scenario generation methods are discussed. Scenario generation is an effective method for addressing uncertainties in stochastic programming for energy systems with integrated wind power.