Electric Power ›› 2018, Vol. 51 ›› Issue (6): 121-128.DOI: 10.11930/j.issn.1004-9649.201702101

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Research on Integration Model Construction and Integration Technology for Future State of Power Grid

YANG Qijing1, ZHANG Yong2, ZHAI Mingyu1,3, NING Jian2, JI Xuechun1,3, LI Hao1   

  1. 1. Nari Group Corporation/State Grid Electric Power Research Institute, Nanjing 211106, China;
    2. State Grid North China Power Dispatch and Control Center, Beijing 100053, China;
    3. State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China
  • Received:2017-02-27 Revised:2018-03-04 Online:2018-06-05 Published:2018-06-12
  • Supported by:
    This work is supported by Science and Technology Project of State Grid North China Power Dispatch and Control Center (Research on future state model technology for extra-high voltage and large power grid, No.SGTYHT/15-JS-191).

Abstract: With the increasing scale and complexity of smart grid in China, the demand for future state grid model is increasingly high. At this stage, the scheduling automation system lacks fast and efficient modeling methods for future grid state modeling, and lacks the coordination and fusion mechanism of future models between the upper and lower level scheduling systems. By studying the architecture of the future model management system of the power grid, the future version maintenance ring of the model is realized through the message middleware-based interaction technology and the fusion method of the future model considering the granularity of the plant station, without affecting the security and stability of the real-time system. The model also uses data fragmentation and distributed file database technology, the rapid construction of the environment realizes the efficient management of the integration of the future model of the integrated network, and meets the needs of different applications for the future model multi version maintenance and provides a complete set of solutions for the application calculation.

Key words: future state, data partition, model building, model fusion, MOM technology

CLC Number: