Patents by Inventor Minghao Ai

Minghao Ai 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).

  • Patent number: 10833508
    Abstract: An active power distribution network multi-time scale coordinated optimization scheduling method and storage medium are provided. The method includes the following steps: performing long-time scale optimization scheduling of an active power distribution network; performing short-time scale rolling optimization scheduling on the basis of MPC of the active power distribution network according to an optimization result of the long-time scale optimization scheduling of the active power distribution network. By using a model prediction control method, taking the long-time scale optimization scheduling result as a reference, and performing short-time scale rolling correction, the optimization scheduling of the active power distribution network is achieved, thereby reducing unfavorable influences of prediction precision of a distributed power supply and a low-voltage load on the optimization scheduling.
    Type: Grant
    Filed: June 27, 2016
    Date of Patent: November 10, 2020
    Assignees: CHINA ELECTRIC POWER RESEARCH INSTITUTE COMPANY LIMITED, STATE GRID CORPORATION OF CHINA, NORTH CHINA ELECTRIC POWER UNIVERSITY, STATE GRID BEIJING ELECTRIC POWER COMPANY, STATE GRID TIANJIN ELECTRIC POWER COMPANY
    Inventors: Xiaohui Wang, Tianjiao Pu, Lei Dong, Naishi Chen, Ye Li, Jiancheng Yu, Renle Huang, Xianjun Ge, Zhihong Li, Minghao Ai, Fumin Qu, Liqiang Zhao
  • Publication number: 20200033933
    Abstract: An active power distribution network multi-time scale coordinated optimization scheduling method and storage medium are provided. The method includes the following steps: performing long-time scale optimization scheduling of an active power distribution network; performing short-time scale rolling optimization scheduling on the basis of MPC of the active power distribution network according to an optimization result of the long-time scale optimization scheduling of the active power distribution network. By using a model prediction control method, taking the long-time scale optimization scheduling result as a reference, and performing short-time scale rolling correction, the optimization scheduling of the active power distribution network is achieved, thereby reducing unfavorable influences of prediction precision of a distributed power supply and a low-voltage load on the optimization scheduling.
    Type: Application
    Filed: June 27, 2016
    Publication date: January 30, 2020
    Inventors: Xiaohui Wang, Tianjiao Pu, Lei Dong, Naishi Chen, Ye Li, Jiancheng Yu, Renle Huang, Xianjun Ge, Zhihong Li, Minghao Ai, Fumin Qu, Liqiang Zhao