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Kriging方法在输电线路气象环境建模中的应用
引用本文:卢耀华,王胜明,郭剑,项震,谢丹丹.Kriging方法在输电线路气象环境建模中的应用[J].计算机系统应用,2019,28(2):264-269.
作者姓名:卢耀华  王胜明  郭剑  项震  谢丹丹
作者单位:南瑞集团(国网电力科学研究院)有限公司,南京,211106;国电南瑞科技股份有限公司,南京,211006
基金项目:国家电网公司科技项目(电力系统与相关外部信息交互影响的分析和应用功能设计)
摘    要:由于气象测点个数有限、分布不均匀且与线路走廊不一致,无法为研究灾害引发的线路故障及其防御技术提供精确的输电线路气象环境数据模型.为此,本文分析了Kriging空间插值方法的实现原理,应用Kriging插值方法实现对输电线路气象环境数据的网格化建模,并制定插值结果校验方法及评价标准,选取江苏省级电网可获取的996个气象测点2017年某日的温度数据,通过Kriging法进行网格化插值并对结果进行分析比较,验证了适用于该区域输电线路的温度数据网格化插值的Kriging半变异函数模型的选取过程.

关 键 词:输电线路  气象环境  网格化建模  地理信息系统  数字高程模型  Kriging插值算法
收稿时间:2018/8/6 0:00:00
修稿时间:2018/9/5 0:00:00

Application of Kriging Method in Meteorological Environment Modeling of Transmission Lines
LU Yao-Hu,WANG Sheng-Ming,GUO Jian,XIANG Zhen and XIE Dan-Dan.Application of Kriging Method in Meteorological Environment Modeling of Transmission Lines[J].Computer Systems& Applications,2019,28(2):264-269.
Authors:LU Yao-Hu  WANG Sheng-Ming  GUO Jian  XIANG Zhen and XIE Dan-Dan
Affiliation:NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211006, China;NARI Technology Development Co. Ltd., Nanjing 211006, China,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211006, China;NARI Technology Development Co. Ltd., Nanjing 211006, China,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211006, China;NARI Technology Development Co. Ltd., Nanjing 211006, China,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211006, China;NARI Technology Development Co. Ltd., Nanjing 211006, China and NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211006, China;NARI Technology Development Co. Ltd., Nanjing 211006, China
Abstract:Because of the limited number of meteorological observation points, uneven distribution, and inconsistency with the line corridor, it is unable to provide accurate data model for transmission line meteorological environment which is used to study line fault and defense technology caused by disasters. This study analyzes the principle of Kriging interpolation algorithm, realizes the grid modeling of meteorological environment for transmission lines by using Kriging interpolation method. In addition, this study formulates the evaluation criteria of the interpolation results, and selects the temperature data on one day in 2017 of 996 meteorological observation points in Jiangsu Province. Through the experiment simulation and the analysis of the Kriging interpolation results, the selection process of the kriging semi variant function model which is suitable for the grid interpolation of the temperature data in this area is verified.
Keywords:transmission line  meteorological environment  grid modeling  Geographic Information System (GIS)  Digital Elevation Model (DEM)  Kriging interpolation algorithm
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