• DocumentCode
    3478113
  • Title

    Grid computing for load modeling

  • Author

    Sheng, Su ; Li, K.K. ; Xiangjun, Zeng ; Xinran, Li ; Feng, Chen

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Changsha Inst. of Sci. & Technol., Hunan, China
  • Volume
    2
  • fYear
    2004
  • fDate
    5-8 April 2004
  • Firstpage
    602
  • Abstract
    Computing grid are an approach for building dynamically constructed collaborative problem solving environment using geographically and organizationally dispersed high performance computing and data handling resources. It provides a novel computation mode for power system simulation and modeling. This paper put out a grid computing infrastructure for load modeling, thus to provide the computation capacity needed in measurement based load modeling with disturbed data logged by WAMS (wide area measurement system). The infrastructure is practical and is of good scalability, highly automation, and huge computation capacity.
  • Keywords
    data handling; data loggers; grid computing; multi-agent systems; power system measurement; power system simulation; problem solving; wide area networks; WAMS; collaborative problem solving; computation capacity; data handling resources; disturbed data logging; grid computing infrastructure; measurement based load modeling; multiagent system; performance computing; power system simulation; scalability; wide area measurement system; Area measurement; Buildings; Collaborative work; Data handling; Grid computing; High performance computing; Load modeling; Power system modeling; Power system simulation; Wide area measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8237-4
  • Type

    conf

  • DOI
    10.1109/DRPT.2004.1338053
  • Filename
    1338053