首页|基于SPSS的覆冰模型修正及应用

基于SPSS的覆冰模型修正及应用

扫码查看
输电线路覆冰会对电网系统造成严重危害,因此,覆冰预测的准确性关乎电力系统的安全稳定运行.本文在总结以往主流覆冰模型的基础上,通过对建模因子进行对比分析,以可量化、易提取、影响覆冰规律明显为选取原则,运用SPSS软件,采用多个增长函数关系进行建模,最终选取其中拟合效果最好的模型作为覆冰修正建模成果.经现场实测数据检验,修正后的模型整体上具有较高的实用性,覆冰预测及冰区划分准确,对输电线路设计具有指导作用.
Modification and Application of Ice Coating Model Based on SPSS
Ice accumulation on transmission lines poses severe hazards to the power grid system.Therefore,the accuracy of ice accretion prediction is crucial for the safe and stable operation of the power system.Based on a summary of previous mainstream ice accretion models,this paper conducts a comparative analysis of modeling factors.With quantifiability,ease of extraction,and significant impact on the regularity of ice accretion as selection principles,the paper employs SPSS software to establish models using multiple growth function relationships.Ultimately,the one with the best fitting effect is selected as the modeling result for the corrected ice accretion model.Verified by field-measured data,the corrected model demonstrates high practicality overall,with accurate ice accretion predictions and ice zone classifications,providing guidance for transmission line design.

transmission lineice accretiongrowth functionmodel correction

杨喻清、黄欢、王浩舟、刘丹丹

展开 >

贵州创星电力科学研究院有限责任公司,贵州贵阳 550081

贵州电网有限责任公司电力科学研究院,贵州贵阳 550001

中国电建集团贵州电力设计研究院有限公司,贵州贵阳 550081

输电线路 覆冰 增长函数 模型修正

2024

电力大数据
贵州电力试验研究院 贵州省电机工程学会

电力大数据

影响因子:0.047
ISSN:2096-4633
年,卷(期):2024.27(11)