Patent ID: 11876378
Assignee: NORTH CHINA ELECTRIC POWER UNIVERSITY
Field: Electrical machinery, apparatus, energy (Electrical engineering)
Classification: CPC H  Y | IPC H

Claim 10:
11. The wind farm control strategy device according to claim 7, wherein in the wind farm control strategy method, the operation of training the preset neural network based on the sample incoming flow wind data, the initial working condition data of the wind turbines in the reference wind farm, the sample working condition data corresponding to the sample generation power and the restriction relationship between the wind turbines in the reference wind farm to obtain the working condition prediction model, comprises:
inputting the sample incoming flow wind data, the initial working condition data of the wind turbines in the reference wind farm, the sample working condition data corresponding to the sample generation power and the restriction relationship between the wind turbines in the reference wind farm into the preset neural network to obtain estimated working condition data and estimated generation power corresponding to the estimated working condition data;
calculating a loss function of the preset neural network based on at least one of the estimated generation power and the estimated working condition data and at least one of the sample generation power and the sample working condition data; and
iteratively adjusting the preset neural network based on the loss function until the loss function is less than a preset threshold to obtain the working condition prediction model.