Patents by Inventor Ziqiu Song

Ziqiu Song has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240167453
    Abstract: Provided are modeling method and device of a floating wind turbine, which relate to the technical field of wind turbine modeling. The modeling method and device of a floating wind turbine can acquire pre-set state variables and input variables of the floating wind turbine, construct a nonlinear model based on the state variables and the input variables, and establish a control-oriented linear parameter varying model corresponding to the nonlinear model according to the nonlinear model, so as to control the floating wind turbine based on the control-oriented linear parameter varying model. The nonlinear model comprises: a drivetrain subsystem model, a tower subsystem model, a floating platform subsystem model, and a mooring subsystem model.
    Type: Application
    Filed: April 6, 2023
    Publication date: May 23, 2024
    Inventors: Fang FANG, Ziqiu SONG, Yang HU, Jizhen LIU, Xiaojiang GUO, Qinghua WANG, Jiantao ZHENG
  • Publication number: 20240159215
    Abstract: A fault-tolerant control method and apparatus of a floating wind turbine are provided. The fault-tolerant control method and apparatus of a floating wind turbine can acquire a low-order nonlinear model of a pre-established floating wind turbine, establish a switching linear model of the floating wind turbine based on the low-order nonlinear model, acquire a modal parameter of the current floating wind turbine, and determine based on the modal parameter a sub-model that the floating wind turbine currently satisfies, so as to establish a switching sliding mode surface and a full-order state observer of the floating wind turbine based on the sub-model and the modal parameter, and further calculate a feedback output of a controller of the floating wind turbine according to the switching sliding mode surface and the full-order state observer.
    Type: Application
    Filed: August 15, 2023
    Publication date: May 16, 2024
    Inventors: Ziqiu Song, Yang Hu, Fang Fang, Jizhen Liu, Xiaojiang Guo, Qinghua Wang, Jin Ju
  • Patent number: 11959455
    Abstract: Provided are control method and device of an energy-storage coordinated floating wind turbine, relating to the technical field of wind turbines. The control method of an energy-storage coordinated floating wind turbine can construct a primary frequency regulation model of a floating wind farm based on a frequency response unit, construct a second frequency regulation model according to an energy storage system, further construct, according to the primary frequency regulation model and the second frequency regulation model, a frequency regulation model of a hybrid power system containing the floating wind farm, the energy storage system, and a pre-set thermal power unit, and design an overall frequency regulation control strategy of the hybrid power system based on the frequency regulation model of the hybrid power system.
    Type: Grant
    Filed: April 6, 2023
    Date of Patent: April 16, 2024
    Assignees: NORTH CHINA ELECTRIC POWER UNIVERSITY, HUANENG GROUP R &D CENTER CO LTD
    Inventors: Yang Hu, Ziqiu Song, Fang Fang, Jizhen Liu, Xiaojiang Guo, Qinghua Wang, Heng Ge
  • Patent number: 11847530
    Abstract: The present invention provides a frequency modulation dynamic modeling method and device for a wind farm, and an electronic device. The method includes: acquiring first frequency modulation data measured at a grid-connected point of the wind farm under a plurality of preset working conditions; establishing a state space model corresponding to each of the plurality of working conditions according to the first frequency modulation data; measuring the nonlinearity between the state space models corresponding to each two of the plurality of working conditions by using a gap measurement method; combining the first frequency modulation data according to the nonlinearity to obtain second frequency modulation data; and training a preset initial LSTM neural network according to the second frequency modulation data until a preset training requirement is met, and obtaining a trained frequency modulation dynamic model of the wind farm.
    Type: Grant
    Filed: May 18, 2023
    Date of Patent: December 19, 2023
    Assignee: NORTH CHINA ELECTRIC POWER UNIVERSITY
    Inventors: Yang Hu, Fang Fang, Xinran Yao, Ziqiu Song, Jizhen Liu