Patents by Inventor Xiaokang Lai

Xiaokang Lai 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: 10211665
    Abstract: The present invention provides an energy management method of a multi-type battery energy storage power station considering charge and discharge rates, that includes: reading related data of the battery energy storage power station; calculating charge or discharge rate characteristic values of battery energy storage machine sets; calculating initial power command values of the battery energy storage machine sets; judging whether the initial power command values of the battery energy storage machine sets exceed the maximum allowable charge or discharge power of the machine sets in real time, if more than, online correcting and re-calculating the initial power command values of the battery energy storage machine sets; otherwise, setting the initial power command values of the energy storage machine sets as the power command values thereof; and summarizing the power command values of the battery energy storage machine sets, and outputting the same.
    Type: Grant
    Filed: September 25, 2013
    Date of Patent: February 19, 2019
    Assignees: ZHANGJIAKOU WIND AND SOLAR POWER ENERGY DEMONSTRATION STATION Co. LTD., STATE GRID XIN YUAN COMPANY, CHINA ELECTRIC POWER RESEARCH INSTITUTE
    Inventors: Xiangjun Li, Dong Hui, Xiaokang Lai, Mingjie Gao, Shaoyu Liu
  • Patent number: 10036778
    Abstract: The invention provides a lithium battery and redox flow battery energy storage systems hybrid energy storage power station real-time power distribution method and system. The system comprises a communication module, a data storage and management module, a gross power coordination control module and a real-time power distribution module. The said method and system not only can complete the real-time distribution of each battery energy storage units in the battery energy storage station, but also the aims of effective control and distribution of the lithium-liquid flow cell combined energy storage power station and aims of effective control and distribution of the lithium-flow flow joint energy storage power station real-time power can be achieved.
    Type: Grant
    Filed: December 11, 2012
    Date of Patent: July 31, 2018
    Assignees: ZHANGJIAKOU WIND AND SOLAR POWER ENERGY DEMONSTRATION STATION CO., LTD., STATE GRID XIN YUAN COMPANY, CHINA ELECTRIC POWER RESEARCH INSTITUTE, STATE GRID CORPORATION OF CHINA
    Inventors: Xiangjun Li, Dong Hui, Xuecui Jia, Xiaokang Lai, Yinming Wang, Si Zhu
  • Patent number: 9660450
    Abstract: The present invention relates to a monitoring and controlling system and method for megawatt level battery energy storage power plant, which includes: a central monitoring and controlling module is used to determine the power command value of each energy storage substation of the battery energy storage power plant, and send it to all the local monitoring and controlling modules; the local monitoring and controlling modules is used to calculate the power command value of each energy storage unit of the energy storage substations controlled by it, and sending it to each energy storage unit, and upload to the central monitoring and controlling module to store. Between the central monitoring and controlling module and the local monitoring and controlling modules, the data transmission and communication are carried out through communication networks; the communication networks adopt real time and non real time communication parallel network structure.
    Type: Grant
    Filed: October 17, 2013
    Date of Patent: May 23, 2017
    Assignees: ZHANGJIAKOU WIND AND SOLAR POWER ENERGY DEMONSTRATION, CHINA ELECTRIC POWER RESEARCH INSTITUTE, STATE GRID CORPORATION OF CHINA
    Inventors: Xiangjun Li, Dong Hui, Xiaokang Lai, Xuecui Jia, Liye Wang, Guangchao Guo, Ping Wang, Yanting Liang, Liang Zhang
  • Publication number: 20160233679
    Abstract: The invention relates to a method and system for smoothing the energy storage wind and photovoltaic power fluctuation based on rate control, including: reading and processing data; determining the signal change rate of the dynamic slope limiter; calculating the smoothing target value of the wind and photovoltaic total power; calculating total power demand of battery energy storage power station; and outputting data. The invention can effectively suppress wind and photovoltaic power fluctuation under the fluctuation rate limited value, can effectively smooth wind and photovoltaic power output. Thus it smoothens wind and photovoltaic power output, reduces the energy storage battery burden, and effectively controls battery energy storage power station system.
    Type: Application
    Filed: October 18, 2013
    Publication date: August 11, 2016
    Applicants: STATE GRID CORPORATION OF CHINA, CHINA ELECTRIC POWER RESEARCH INSTITUTE
    Inventors: Xiangjun Li, Dong Hui, Xiaokang Lai
  • Publication number: 20160218511
    Abstract: The present invention relates to a monitoring and controlling system and method for megawatt level battery energy storage power plant, which includes a central monitoring and controlling module and local monitoring and controlling modules, between the two modules adopts real time and non real time communication parallel network structure to communicate with each other.
    Type: Application
    Filed: October 17, 2013
    Publication date: July 28, 2016
    Applicants: ZHANGJIAKOU WIND AND SOLAR POWER ENERGY DEMONSTRATION, CHINA ELECTRIC POWER RESEARCH INSTITUTE, STATE GRID CORPORATION OF CHINA
    Inventors: Xiangjun Li, Dong Hui, Xiaokang Lai, Xuecui Jia, Liye Wang, Guangchao Guo, Ping Wang, Yanting Liang, Liang Zhang
  • Publication number: 20160197514
    Abstract: The present invention provides an energy management method of a multi-type battery energy storage power station considering charge and discharge rates, that includes: reading related data of the battery energy storage power station; calculating charge or discharge rate characteristic values of battery energy storage machine sets; calculating initial power command values of the battery energy storage machine sets; judging whether the initial power command values of the battery energy storage machine sets exceed the maximum allowable charge or discharge power of the machine sets in real time, if more than, online correcting and re-calculating the initial power command values of the battery energy storage machine sets; otherwise, setting the initial power command values of the energy storage machine sets as the power command values thereof; and summarizing the power command values of the battery energy storage machine sets, and outputting the same.
    Type: Application
    Filed: September 25, 2013
    Publication date: July 7, 2016
    Inventors: Xiangjun Li, Dong Hui, Xiaokang Lai, Mingjie Gao, Shaoyu Liu
  • Publication number: 20150019149
    Abstract: The invention provides a lithium battery and redox flow battery energy storage systems hybrid energy storage power station real-time power distribution method and system. The system comprises a communication module, a data storage and management module, a gross power coordination control module and a real-time power distribution module. The said method and system not only can complete the real-time distribution of each battery energy storage units in the battery energy storage station, but also the aims of effective control and distribution of the lithium-liquid flow cell combined energy storage power station and aims of effective control and distribution of the lithium-flow flow joint energy storage power station real-time power can be achieved.
    Type: Application
    Filed: December 11, 2012
    Publication date: January 15, 2015
    Applicants: CHINA ELECTRIC POWER RESEARCH INSTITUTE, STATE GRID CORPORATION OF CHINA, Zhangjiakou Wind and Solar Power Energy Demonstra- tion Station Co., Ltd., State Grid Xin Yuan Compa
    Inventors: Xiangjun Li, Dong Hui, Xuecui Jia, Xiaokang Lai, Yinming Wang, Si Zhu