公开(公告)号：US12270380B2

公开(公告)日：2025-04-08

申请号：US17446653

申请日：2021-09-01

Applicant: TSINGHUA UNIVERSITY

Inventor： Wenchuan Wu ,  Zizhen Guo ,  Hongbin Sun ,  Bin Wang ,  Qinglai Guo

IPC: F03D7/04 ,  F03D9/25

Abstract: A data-driven wind farm frequency control method based on dynamic mode decomposition. The method enables a low-dimension nonlinear dynamic feature of a wind power system to perform global capturing in a high-dimension space through a state transition matrix given by a Koopman operator theory, thus fewer data samples are necessary while control requirements are satisfied with respect to a model fitting accuracy. Meanwhile, a pure linear feature of a control model also provides a favorable foundation for fast on-line dynamic response, thereby satisfying response accuracy and speed requirements simultaneously in an actual control step.