Structure optimization and preparation of power system grounding grid based on similarity data analysis algorithm

被引:1
|
作者
Hu, Yuanchao [1 ]
Huang, Tao [2 ]
Jeon, Seunggil [3 ]
Du, Changqing [2 ]
An, Yunzhu [1 ]
Hu, Shangmao [4 ]
机构
[1] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo, Peoples R China
[2] Construct Branch State Grid Jiangsu Elect Power C, Nanjing, Peoples R China
[3] Samsung Elect, 129 Samseong Ro, Suwon 16677, Gyeonggi Do, South Korea
[4] China Southern Power Grid, Elect Power Res Inst, Guangzhou, Peoples R China
关键词
Similarity data analysis; Distortion similarity model; Grounding grid; Structure optimization; Flexible graphite composite grounding material (FGCGM);
D O I
10.1007/s00170-022-09665-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The grounding grid of power equipment is the most basic overvoltage protection device for the power system. Before the design and construction of the power grounding grid, the power system generally uses a scaled-down model to verify the characteristics of the grounding grid. As the types and structures of grounding materials become more and more complex, there are one or more similar items in the grounding simulation test that cannot be scaled down. This paper takes the similarity test of a new type of grounding material-flexible graphite composite grounding material as an example. Firstly, the complete similarity theory of the grounding simulation test is deduced. Secondly, the source of similar distortion items is analyzed. Then, the distortion error of different similar items is analyzed. Finally, the distortion similarity test of the flexible graphite composite grounding material is taken as an example to verify the test error influence of the distortion similarity item of the grounding simulation. The research results of this paper can provide a reference for grounding simulation tests, and at the same time, they can be applied to similar tests in other fields.
引用
收藏
页码:5177 / 5177
页数:1
相关论文
共 50 条
  • [1] Optimization design of substation grounding grid based on genetic algorithm
    He, Zhiqiang
    Wen, Xishan
    Wang, Jianwu
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 4, PROCEEDINGS, 2007, : 140 - +
  • [2] A smart detection system for power grounding grid based on GPR
    Wu, Xin
    Zhang, Xu
    Hao, Jianhong
    Song, Jiming
    Miao, Fengxian
    PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015), 2015, 126 : 308 - 313
  • [3] The Optimization Algorithm for the Auxiliary Anode System of Grounding Grid Base on Simulated Annealing
    Song, Chunfeng
    Hou, Yuanbin
    Du, Jingyi
    2018 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2018), 2018, : 282 - 285
  • [4] A new optimization algorithm for grounding grid fault diagnosis
    Qiu, Qi-rong
    Wang, Peng
    WMSO: 2008 INTERNATIONAL WORKSHOP ON MODELLING, SIMULATION AND OPTIMIZATION, PROCEEDINGS, 2009, : 294 - 297
  • [5] Grounding grid fault diagnosis based on node tearing and chemical reaction optimization algorithm
    Zhou B.
    Peng M.
    Huang Q.
    Jing J.
    Shen M.
    Peng, Minfang (pengminfang@hnu.edu.cn), 2017, Electric Power Automation Equipment Press (37): : 163 - 168and175
  • [6] A clustering algorithm for data stream based on grid-tree and similarity
    Huang G.
    Guo W.
    Ren J.
    Chen L.
    International Journal of Advancements in Computing Technology, 2011, 3 (09) : 17 - 24
  • [7] Mechanism Analysis of Power Grid Cascading Failures Based on Data Mining Algorithm
    Deng, Chunlan
    Xiao, Yao
    Zhu, Qianlong
    Guo, Yi
    PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020), 2020, : 1198 - 1202
  • [8] Analysis of the Optimization of the Organizational Structure of Power Grid Enterprises
    Li, Yongchen
    Wang, Haonan
    2013 2ND INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE AND EDUCATION (ICSSE 2013), PT 3, 2013, 48 : 434 - 439
  • [9] Optimization of the offshore wind power grid-connected structure based on an improved genetic algorithm
    Li, Haibo
    Jiang, Keteng
    Lu, Zongxiang
    Hou, Junhao
    Xu, Sixuan
    Qi, Wanchun
    Cai, Hui
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [10] An algorithm for power grid optimization based on dynamic current consumption
    Ishijima, Hironobu
    Kusano, Kenji
    Harada, Taiki
    Kawakami, Yoshiyuki
    Fukui, Masahiro
    PROCEEDINGS OF THE FOURTH IASTED INTERNATIONAL CONFERENCE ON CIRCUITS, SIGNALS, AND SYSTEMS, 2006, : 114 - +