Application of Data Mining Theory in Power Grid Equipment Defect

被引:0
|
作者
Wang Hongbin [1 ]
Zhang Hu [1 ]
Li Feng [1 ]
机构
[1] Elect Power Res Inst Guangdong Power Grid Co Ltd, Guangzhou 510080, Guangdong, Peoples R China
关键词
Power Grid Planning; Analogue Simulation; Application Data; System Design;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
n order to meet the structural and functional demands of power grid planning research simulation laboratory for application data processing, a set of application data subsystem serving the power grid planning research simulation laboratory is designed according to the actual demand of power grid planning simulation work. Not only the overall framework but also the specific functions are described in this article in order to present the design thought for the data subsystem serving the power grid planning research simulation laboratory, wherein the data bus based integration method is adopted for the application data subsystem, and CORBA is adopted to solve the problem regarding the interoperability of the distributed objects of different heterogeneous systems, and open structure is adopted to provide the network architecture with key function redundancy and able to support distributed processing environment in order to meet the demands for expandability, safe reliability, openness and easy maintenance. Specifically, the main functions realized thereby include: data exchange platform, data center, graphic center, data query, information service, WEB, uniform information maintenance platform, uniform platform support for accessed/ embedded third-party application functions and other basic functions, and these functions aim at improving power grid planning simulation level and verifying more reasonable planning scheme in order to create greater benefits.
引用
收藏
页码:990 / 994
页数:5
相关论文
共 50 条
  • [41] RETRACTED: Knowledge Graph Construction and Application of Power Grid Equipment (Retracted Article)
    Huang, Haichao
    Hong, Zhouzhenyan
    Zhou, Huiming
    Wu, Jiaxian
    Jin, Ning
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [42] Research in the Application of Data Mining Technique in Power System
    Yao, Youping
    [J]. COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION III, 2014, 443 : 239 - 242
  • [43] Data Mining techniques application in Power Distribution utilities
    Ramos, Sergio
    Vale, Zita
    [J]. 2008 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION, VOLS 1-3, 2008, : 1156 - +
  • [44] Data mining technology and its application on power system
    Liao, Z.
    Sun, Y.
    [J]. Dianli Xitong Zidonghue/Automation of Electric Power Systems, 2001, 25 (11): : 62 - 66
  • [45] Research on operation fault diagnosis algorithm of power grid equipment based on power big data
    Qian, Jianguo
    Zhu, Bingquan
    Li, Ying
    Shi, Zhengchai
    [J]. ARCHIVES OF ELECTRICAL ENGINEERING, 2020, 69 (04) : 793 - 800
  • [46] THE PARALLEL ALGORITHM OF CLIQUE AND IT'S APPLICATION ON DATA MINING GRID SYSTEM
    Chen, Ping
    Liu, Zhen
    Qiao, Xiuquan
    Tian, Xiaoping
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT, PROCEEDINGS, 2009, : 340 - +
  • [47] Building scalable data mining grid applications - An Application Description Schema and associated grid services
    Stankovski, Vlado
    Wegener, Dennis
    [J]. ICSOFT 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON SOFTWARE AND DATA TECHNOLOGIES, VOL PL/DPS/KE, 2008, : 221 - +
  • [48] Application in data safety analysis based on grey theory of data mining
    Qu Zhi-ming
    Gao Hong
    Ma Nan
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3, 2008, : 1446 - 1449
  • [49] Application of Data Mining Methods for Power Forecast of Wind Power Plants
    Arnoldt, Alexander
    Koenig, Stefan
    Mikut, Ralf
    Bretschneider, Peter
    [J]. 9TH INTERNATIONAL WORKSHOP ON LARGE-SCALE INTEGRATION OF WIND POWER INTO POWER SYSTEMS AS WELL AS ON TRANSMISSION NETWORKS FOR OFFSHORE WIND POWER PLANTS, 2010, : 655 - 660
  • [50] Distributed data mining on the grid
    Cannataro, M
    Talia, D
    Trunfio, P
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2002, 18 (08): : 1101 - 1112