Patents by Inventor Yanwei Zhu

Yanwei Zhu 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: 10380223
    Abstract: A support tensor machine based neutral point grounding mode decision method and system adopts a support tensor machine method Based on three indexes, i.e., the power supply reliability index, safety index, and economical efficiency index, influences of different neutral point grounding modes are analyzed by employing the support tensor machine method to finally obtain a neutral point grounding mode capable of maximizing power supply reliability of a distribution network.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: August 13, 2019
    Assignees: STATE GRID ZHEJIANG ELECTRIC POWER COMPANY LIMITED, STATE GRID ZHEJIANG ECONOMIC RESEARCH INSTITUTE, STATE GRID NINGBO ELECTRIC POWER SUPPLY COMPANY LIMITED, ZHEJIANG HUAYUN ELECTRIC POWER ENGINEERING DESIGN CONSULTING CO. LTD
    Inventors: Yingjing He, Yangqing Dan, Weijun Liu, Weimin Zheng, Xiaodi Zhang, Chaoming Zheng, Xiran Wang, Shuyi Shen, Yan Yao, Yanwei Zhu, Fan Li, Lin Zhou, Jiandi Fang, Dan Yu, Ren Tang
  • Publication number: 20190121836
    Abstract: A support tensor machine based neutral point grounding mode decision method and system adopts a support tensor machine method Based on three indexes, i.e., the power supply reliability index, safety index, and economical efficiency index, influences of different neutral point grounding modes are analyzed by employing the support tensor machine method to finally obtain a neutral point grounding mode capable of maximizing power supply reliability of a distribution network.
    Type: Application
    Filed: March 5, 2018
    Publication date: April 25, 2019
    Inventors: Yingjing He, Yangqing Dan, Weijun Liu, Weimin Zheng, Xiaodi Zhang, Chaoming Zheng, Xiran Wang, Shuyi Shen, Yan Yao, Yanwei Zhu, Fan Li, Lin Zhou, Jiandi Fang, Dan Yu, Ren Tang