METHOD FOR CONTROLLING A WIND FARM, CONTROL MODULE FOR A WIND FARM, AND WIND FARM
A method ( 300 ) for the control of a wind farm ( 10 ) is disclosed. The method ( 300 ) comprises: read-in of data from at least one first wind power plant ( 200 ) of the wind farm; supply of the read-in data from the at least one first wind power plant to a statistical prediction model for the control of at least one second wind power plant ( 200 ) of the wind farm based on the read-in data from the at least one first wind power plant; and use of the statistical prediction model to control the at least one second wind power plant ( 200 ).
1 . Method for the control of a wind farm, comprising:
Read-in of data from at least one first wind power plant of the wind farm;
Supply of the read-in data of the at least one first wind power plant to a statistical prediction model for the control of at least one second wind power plant of the wind farm, on the basis of the read-in data of the at least one first wind power plant; and
Use of the statistical prediction model to control the at least one second wind power plant.
2 . Method according to claim 1 , wherein
read-in data comprises at least electrical power data, and/or mechanical load data.
3 . Method according to claim 2 , wherein
the electrical power data is read in by way of a SCADA system, and/or the mechanical load data is read in by way of at least one sensor.
4 . Method according to claim 1 , wherein
the statistical prediction model takes into account a distance (d) between the at least one first wind power plant and the at least one second wind power plant, a wind direction, and/or a wind speed.
5 . Method according to claim 1 , wherein
the statistical prediction model has a machine learning method.
6 . Method according to claim 1 , wherein
the statistical prediction model uses data from at least two first wind power plants to control the at least one second wind power plant.
7 . Method according claim 1 , wherein
the data is read in at a high sampling rate of 1 Hz or more.
8 . Method claim 1 , wherein
the statistical prediction model makes predictions for an electrical power and/or mechanical load to be anticipated for the at least one second wind power plant.
9 . Method according claim 1 , wherein
in accordance with the statistical prediction model the control of the at least one second wind power plant ( 200 ) comprises a control of an angle of attack of a blade of the at least one second wind power plant ( 200 ), a control of a torque of the at least one second wind power plant ( 200 ), a damping system in a tower structure of the at least one second wind power plant ( 200 ), and/or active mechanisms in a blade control system of the at least one second wind power plant ( 200 ).
10 . Method according claim 1 , wherein
furthermore, external data from meteorological sensors is read in and supplied to the statistical prediction model, which in particular can be a Bayesian hybrid model that learns continuously and improves its predictions over time.
11 . Method according claim 1 , wherein
furthermore, data is supplied to a physical prediction model in order to control the at least one second wind power plant, which in particular can be a Bayesian hybrid model that learns continuously and improves its predictions over time.
12 . A control module for a wind farm, which is configured to execute the method according to claim 1 .
13 . Wind farm, comprising:
at least one first wind power plant;
at least one second wind power plant; and
a control module according to claim 12 for the control of the at least one first and/or second wind power plant.