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
  • [41] Analysis on Wind Power System Reactive Power Optimization of Jiujiang Region Power Grid
    Zhang, Shunhua
    Wang, Zongyao
    Yang, Xiaopin
    Xu, Huijun
    PROCEEDINGS OF THE AASRI INTERNATIONAL CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (IEA 2015), 2015, 2 : 433 - 435
  • [42] Data Streams Clustering Algorithm Based on Grid and Particle Swarm Optimization
    Ke, Luo
    Lin, Wang
    2009 INTERNATIONAL FORUM ON COMPUTER SCIENCE-TECHNOLOGY AND APPLICATIONS, VOL 1, PROCEEDINGS, 2009, : 93 - 96
  • [43] Optimization of the demand side dispatching of a power grid based on an efficient genetic algorithm and its convergence analysis
    Peng Q.
    Wang A.
    Li J.
    Liu W.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2022, 50 (06): : 33 - 42
  • [44] Structure optimization of power system using Simulated Annealing Algorithm
    Rami, Abdelkader
    PRZEGLAD ELEKTROTECHNICZNY, 2011, 87 (01): : 258 - 261
  • [45] Optimization of grid independent diesel-based hybrid system for power generation using improved particle swarm optimization algorithm
    Maleki, Akbar
    Pourfayaz, Fathollah
    2015 30TH INTERNATIONAL POWER SYSTEM CONFERENCE (PSC), 2015, : 111 - 117
  • [46] A Novel Data Aggregation Preprocessing Algorithm in Flash Memory for lot Based Power Grid Storage System
    Shi, Jie
    Zhang, Hualu
    Bai, Yang
    Han, Guangjie
    Jia, Gangyong
    IEEE ACCESS, 2018, 6 : 57279 - 57290
  • [47] Demand Forecasting and Allocation Optimization of Green Power Grid Supply Chain Based on Machine Learning Algorithm: A Study Based on the Whole-Process Data of Power Grid Materials
    Rao, Hanyu
    Li, Jiancheng
    Sun, Xiaojun
    SUSTAINABILITY, 2025, 17 (03)
  • [48] RETRACTED: Power System Reactive Power Optimization Sensor Dispatching Digital Grid Based on Improved Cuckoo Algorithm (Retracted Article)
    Wang, Shun
    JOURNAL OF SENSORS, 2022, 2022
  • [49] Composite structure optimization design system based on grid technology
    Cheng, Wenyuan
    Cui, Degang
    Chang, Yan
    Xie, Xianghui
    ADVANCES IN COMPOSITE MATERIALS AND STRUCTURES, PTS 1 AND 2, 2007, 334-335 : 453 - +
  • [50] Analysis of Frequency Power Characteristics Based on Large Power Grid Data
    Wang, Shunjiang
    Zang, Yuxiu
    Pu, Baoming
    Su, Anlong
    Gao, Kai
    Zhao, Yan
    Zhang, Detian
    2018 13TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2018, : 744 - 748