What are the characteristics of wind power generation scenarios

Why are Char-acteristics important in the design of wind power scenario generation methods?

It is important to account for these complicated char-acteristics in the design of wind power scenario generation methods. The GAN model is powerful in generating synthetic data with similar characteristics as the given real dataset, without the need of explicitly modeling the underlying data statistics.

What is a wind power generation scenario?

Generally speaking, the generation of wind power generation scenarios refers to the establishment of mathematical models to generate a large number of scenarios that conform to the time–space characteristics of the time series and to make specific predictions of wind speed or wind power in the future period of time.

What is a wind scenario?

To be specific, a scenario usually refers to a time series of wind speed or power over a period of time in one or multiple wind farms. Li, Ren, et al. made a detailed review of scenario generation methods, evaluation indices and applications of multiple renewable energies in power systems.

What factors should be considered when generating wind power scenarios?

Several factors need to be considered when generating wind power scenarios. First, the power output data of an individual wind farm exhibit unique temporal characteristics due to the wind speed variability and other plant operating conditions.

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