Wind power series generation

Why is generation of wind power time series important?

Generation of wind power time series is an important foundational task for assisting electric power system planning and making decision.

How is a wind power state series generated?

First, the wind power state series is generated to meet the state transition matrix based on the definition of the wind power state. Then, the time duration of each state in the series is determined by its respective duration character. Finally, the variation characteristic is used to convert the state series to a wind power time series.

Does a time series model reflect the temporal-spatial correlation of wind power?

To simultaneously reflect the temporal-spatial correlation of wind power, a time series method-based scenario generation model was proposed in . It could be seen that the aforementioned methods play a great role in describing wind power characteristics and generating wind power scenarios.

Can a wind power scenario generation model be applied to another wind farm?

In the field of wind power scenario generation, since there is spatial–temporal correlativity and similar wind power characteristics between adjacent wind farms, if the wind power scenario generation model of a wind farm is known, it can be applied to another wind farm in a certain way according to the idea of transfer learning.