Patents by Inventor Xiulan PANG

Xiulan PANG 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).

  • Optimal configuration method for hybrid energy storage of grid-connected wind storage power generation system
    Patent number: 11862969
    Abstract: An optimal configuration method for a hybrid energy storage of a grid-connected wind storage power generation system is provided, including: performing a frequency domain decomposition on a historical wind power output, to count high-frequency and low-frequency components of the historical wind power output, and determining a rated power of the hybrid energy storage based on a probability distribution function; establishing a hybrid energy storage capacity optimization model for a full life cycle of a wind farm to minimize a net present value of an annual cost and maximize a target satisfaction rate of an output; extracting a daily typical scenario for the wind power output based on a clustering algorithm to count a time proportion of each typical scenario as an input scenario of the hybrid energy storage capacity optimization model for the full life cycle of the wind farm; and solving with a multi-objective optimization algorithm, to obtain an optimal hybrid energy storage capacity configuration scheme for t
    Type: Grant
    Filed: July 28, 2021
    Date of Patent: January 2, 2024
    Assignee: Tianjin University
    Inventors: Chao Ma, Rui Du, Xiulan Pang
  • OPTIMAL CONFIGURATION METHOD FOR HYBRID ENERGY STORAGE OF GRID-CONNECTED WIND STORAGE POWER GENERATION SYSTEM
    Publication number: 20220077686
    Abstract: An optimal configuration method for a hybrid energy storage of a grid-connected wind storage power generation system is provided, including: performing a frequency domain decomposition on a historical wind power output, to count high-frequency and low-frequency components of the historical wind power output, and determining a rated power of the hybrid energy storage based on a probability distribution function; establishing a hybrid energy storage capacity optimization model for a full life cycle of a wind farm to minimize a net present value of an annual cost and maximize a target satisfaction rate of an output; extracting a daily typical scenario for the wind power output based on a clustering algorithm to count a time proportion of each typical scenario as an input scenario of the hybrid energy storage capacity optimization model for the full life cycle of the wind farm; and solving with a multi-objective optimization algorithm, to obtain an optimal hybrid energy storage capacity configuration scheme for t
    Type: Application
    Filed: July 28, 2021
    Publication date: March 10, 2022
    Inventors: Chao MA, Rui DU, Xiulan PANG