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基于云服务器的地磁感应电流监测系统的设计

乔珺 刘青 高兵 李艾娣

乔珺, 刘青, 高兵, 等. 基于云服务器的地磁感应电流监测系统的设计[J]. 强激光与粒子束, 2019, 31: 070009. doi: 10.11884/HPLPB201931.190054
引用本文: 乔珺, 刘青, 高兵, 等. 基于云服务器的地磁感应电流监测系统的设计[J]. 强激光与粒子束, 2019, 31: 070009. doi: 10.11884/HPLPB201931.190054
Qiao Jun, Liu Qing, Gao Bing, et al. Design of geomagnetic induction current monitoring system based on cloud server[J]. High Power Laser and Particle Beams, 2019, 31: 070009. doi: 10.11884/HPLPB201931.190054
Citation: Qiao Jun, Liu Qing, Gao Bing, et al. Design of geomagnetic induction current monitoring system based on cloud server[J]. High Power Laser and Particle Beams, 2019, 31: 070009. doi: 10.11884/HPLPB201931.190054

基于云服务器的地磁感应电流监测系统的设计

doi: 10.11884/HPLPB201931.190054
基金项目: 

国家重点研发计划项目 2016YFC0800100

详细信息
    作者简介:

    乔珺(1992—), 女, 硕士研究生, 研究方向为电网安全运行, qiao_xust17@163.com

  • 中图分类号: TP391

Design of geomagnetic induction current monitoring system based on cloud server

  • 摘要: 地磁暴引起的地磁感应电流(GIC) 可能引起变压器直流偏磁, 对电网的安全稳定运行带来威胁, 远程实时监测GIC对电网的GIC防御具有重要的指导意义。设计了一种基于云服务器的电网GIC远程监测系统, 数据采集终端实时采集变压器中性点的GIC, 多监测点数据经GPRS分端口发送至云服务器的内网进行存储, 用户可通过云服务器的公网IP远程访问并对数据进行绘图、下载等处理, 实现了电网GIC数据的实时发布与共享。结合空间天气的预测数据, 还可以初步实现GIC的预警。对系统的数据采集终端以及基于云服务器的监测软件平台两大模块进行了实验室及变电站现场测试, 测试结果表明该系统实现了设计要求, 满足功能需求。
  • 图  1  电网GIC监测总结构图

    Figure  1.  General structure of the grid GIC monitoring system

    图  2  开环式霍尔电流传感器

    Figure  2.  Open loop Hall current sensor

    图  3  霍尔传感器性能测试台

    Figure  3.  Hall sensor performance test bench

    图  4  交流输入下,霍尔传感器的测试数据

    Figure  4.  Output waveform of Hall element upon AC input

    图  5  调理电路设计

    Figure  5.  Design of conditioning circuit

    图  6  调理电路仿真结果图

    Figure  6.  Simulation result diagram of conditioning circuit

    图  7  数据采集终端性能测试

    Figure  7.  Data acquisition terminal performance test

    图  8  服务器实时数据接收测试

    Figure  8.  Server real-time data receiving test

    图  9  数据采集终端与服务器联合调试

    Figure  9.  Data acquisition terminal and server joint debugging

    图  10  数据采集终端现场安装图

    Figure  10.  Field installation and client display of data acquisition terminal

    表  1  直流输入下霍尔传感器的测试数据

    Table  1.   Test data of Hall element on DC input

    U/V I/A U′/V (I/U′)/(A·V-1)
    0 0 -0.055 0
    2.2 0.49 0.246 1.992
    4.7 1.00 0.488 2.049
    7.1 1.50 0.760 1.974
    9.5 2.00 1.013 1.974
    11.8 2.50 1.248 2.003
    14.2 3.00 1.524 1.984
    16.5 3.50 1.762 1.986
    18.7 4.00 2.041 1.960
    21.0 4.50 2.300 1.957
    下载: 导出CSV

    表  2  交流输入下霍尔传感器的测试数据

    Table  2.   Test data of Hall element on AC input

    U/V I/A U′/V U″/V (I/U′)/(A·V-1)
    0 0 0 0 0
    5.0 1.0 1.52 1.07 0.935
    10.0 2.0 3.12 2.21 0.905
    15.0 3.0 4.64 3.28 0.915
    20.0 4.0 6.20 4.28 0.935
    25.0 5.0 7.60 5.27 0.949
    30.0 6.0 9.60 6.69 0.896
    30.5 6.1 9.80 6.90 0.884
    31.0 6.2 10.00 7.01 0.884
    31.5 6.3 10.00 7.05 0.894
    32.0 6.4 10.20 7.21 0.887
    32.5 6.5 10.40 7.36 0.883
    下载: 导出CSV

    表  3  传统服务器与云服务器对比

    Table  3.   Comparison of traditional servers and cloud servers

    traditional server cloud server
    safety purchase of expensive black hole equipment effective protection against DDoS attacks
    operational self-supply of your own operating system built-in operating system
    economic one-time immense investment on-demand purchase
    maintenance professional and expensive post-maintenance little maintenance
    disaster tolerance self-repair when there is data corruption fast and automatic fault recovery
    expansibility lack of flexibility in service environment rapid business deployment and scale flexibility
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-02-28
  • 修回日期:  2019-05-31
  • 刊出日期:  2019-07-15

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