Patents by Inventor Zhicheng Ma

Zhicheng Ma 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: 11913375
    Abstract: The present invention discloses a biaxial supporting device for a rotary opposed piston engine, comprising a cylinder body, a fixing component, a thick axle and a thin axle; the interior of the cylinder body has a cavity; the fixing component is fixed on the outer side wall of the cylinder body; the thick axle is provided with a through hole coaxial with the first axle hole, and is rotatably connected with the through hole; the thin axle is in transition fit with the through hole of the thick axle, and is rotatably connected with the fixing component. The present invention has simple structure, can effectively reduce a diameter difference of two axles to ensure the relatively small diameter of the thick axle and the relatively high strength of the thin axle, and can effectively realize biaxial support of the rotary opposed piston engine.
    Type: Grant
    Filed: August 16, 2022
    Date of Patent: February 27, 2024
    Assignee: Beijing Institute of Technology
    Inventors: Jianbing Gao, Yufeng Wang, Yuyang Wang, Zhicheng Lei, Tianhao Liu, Jingcan Liu, Xinjie Wang, Chaochen Ma
  • Publication number: 20230299585
    Abstract: Disclosed is a coordinated peak shaving optimization method for a plurality of power supplies based on a fluctuation characteristic of a renewable energy source, including the following steps: s1: determining a weekly generated electricity quantity of hydropower based on an available capacity and a storage capacity of an electricity quantity; s2: predicting a renewable energy power generation curve and a load curve of a system weekly; s3: determining a start point of peak shaving of the hydropower based on an external transmission curve, the renewable energy generation curve, and the load curve of the system and a generating capacity of the hydropower; s4: determining a weekly peak shaving demand of the system; and s5: establishing an optimization model with a maximum peak shaving demand. The present disclosure proposes a reasonable arrangement for peak shaving, so as to resolve an accommodation problem caused by large-scale access of a renewable energy source.
    Type: Application
    Filed: June 10, 2021
    Publication date: September 21, 2023
    Inventors: Qiang Zhou, Yanhong Ma, Yanqi Zhang, Yue Wu, Ningbo Wang, Zhicheng Ma, Xushan Han, Guogang Jin, Long Zhao, Qingquan Lv, Dingmei Wang, Jinping Zhang, Pengfei Gao, Ruixiao Zhang, Jianmei Zhang, Jin Li, Zhenzhen Zhang, Lijuan Liu, Senlin Yang, Jun Kang, Rui Song
  • Publication number: 20220037884
    Abstract: A peak shaving control method for emergent source-grid coordination in case of a faulty sending-end power grid. The method includes: S1: evaluating dispatchability of a cluster virtual wind power unit; S2: developing a method for calculating a dispatchability index of the cluster virtual wind power unit; S3: analyzing a source-load peak-shaving resource strategy; and S4: distributing a control strategy for tie-line peak shaving. The present disclosure has the following beneficial effects: In the present disclosure, real-time dispatchability of wind power participating in real-time power balance is first analyzed, specific evaluation indexes and calculation methods are provided, and calculation examples are given for verification. Then, an optimized real-time dispatch strategy is provided based on demand-side response resources, and DC and AC tie-lines are coordinated for operation.
    Type: Application
    Filed: July 10, 2021
    Publication date: February 3, 2022
    Inventors: Qiang Zhou, Yanhong Ma, Yanqi Zhang, Yue Wu, Ningbo Wang, Zhicheng Ma, Xushan Han, Guogang Jin, Long Zhao, Dingmei Wang, Qingquan Lv, Jinping Zhang, Pengfei Gao, Ruixiao Zhang, Jianmei Zhang, Jin Li, Zhenzhen Zhang, Lijuan Liu, Yue Fan, Xiaokan Gou, Xuebin Wang