计算机科学

计算机科学 ›› 2025, Vol. 52 ›› Issue (6A): 240600039-6.doi: 10.11896/jsjkx.240600039

• 人工智能 • 上一篇    下一篇

基于K-近邻加权算法的智能站虚端子自匹配方法

史卓鹏1, 孔祥敏1, 魏佳红1, 宋晓帆2   

  1. 1 国网山西电力勘测设计研究院有限公司 太原 030000
    2 重庆大学电气工程学院 重庆 404100
  • 出版日期:2025-06-16 发布日期:2025-06-12
  • 通讯作者: 史卓鹏(shizhuopeng_412@163.com)
  • 基金资助:
    国家电网公司基金项目(5200-202156079A)

Self-matching Method of Virtual Terminals of Intelligent Stations Based on K-nearest Neighbor Weighting Algorithm

SHI Zhuopeng1, KONG Xiangmin1, WEI Jiahong1, SONG Xiaofan2   

  1. 1 State Grid Shanxi Electric Power Survey,Design and Research Institute Co.,Ltd.,Taiyuan 030000,China
    2 School of Electrical Engineering,Chongqing University,Chongqing 404100,China
  • Online:2025-06-16 Published:2025-06-12
  • About author:SHI Zhuopeng,born in 1982,master,senior engineer.His main research interests include electrical engineering and electronics,and so on.
  • Supported by:
    State Grid(5200-202156079A).

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摘要： 为解决工程设计中智能变电站虚端子回路频繁连接错误和需要重复校验等问题,提出基于K-近邻加权算法的智能站虚端子自匹配方法。通过将智能变电站的整站虚端子匹配问题分解为典型间隔和单一智能电子设备(Intelligent Electronic Device,IED)中的单个发送和接收虚端子匹配连接问题,引入虚端子的格式组成与连接构建数学分析模型;根据IED装置之间GOOSE和SV输入输出虚端子属性连接的距离度量,通过模拟退火优化方法增加对属性距离权重来提高算法选择近邻度,并利用K-近邻算法的分类决策规则自动匹配出对应的虚端子连接组合。通过工程测试实例验证了该算法的准确性和高效性,其提升了智能变电站不可见回路的连接准确率,能保障电网安全稳定运行。

关键词: K-近邻加权, 虚端子, 自匹配, 模拟退火, 智能变电站, IED

Abstract: In order to solve the problems of frequent connection errors and repeated verification of the virtual terminal circuit of intelligent substation in engineering design,a self-matching method of virtual terminal of intelligent station based on K-nearest neighbor weighting algorithm is proposed.By decomposing the whole station virtual terminal matching problem of the intelligent substation into a typical interval and a single sending and receiving virtual terminal matching connection problem in a single intelligent electronic device(IED),introducing the format composition and connection of virtual terminals,to construct a mathematical analysis model.According to the distance measurement of the attribute connection between GOOSE and SV input and output virtual terminals between IED devices,the distance weight of the attributes is increased by the simulated annealing optimization method to improve the algorithm selection proximity,and the classification decision rule of the K-nearest neighbor algorithm is used to automatically match the corresponding imaginary terminal connection combinations.The accuracy and efficiency of the algorithm are verified by engineering test examples,which improves the connection accuracy of the invisible loop of the intelligent substation and ensures the safe and stable operation of the power grid.

Key words: K-nearest neighbor weighting, Virtual terminals, Self-matching, Simulated annealing, Intelligent substations, IED

中图分类号: 

  • TP311.13
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