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电力大数据:2024,27(11):-
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基于SPSS的覆冰模型修正及应用
杨喻清1, 黄欢2, 王浩舟3, 刘丹丹3
(1.贵州创星电力科学研究院有限责任公司;2.贵州电网有限责任公司电力科学研究院;3.中国电建集团贵州电力设计研究院有限公司)
Modification and Application of Ice Coating Model Based on SPSS
YANG YU QING1, HUANG HUAN2, WANG HAO ZHOU3, LIU DAN DAN3
(1.Guizhou Chuangxing Electric Power Research Institute Co., LTD;2.Power Science Research Institute of Guizhou Power Grid Co., LTD;3.China Power Construction Group Guizhou Electric Power Design and Research Institute Co., LTD)
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投稿时间:2024-08-28    修订日期:2024-12-06
中文摘要: 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、影响覆冰规律性明显为选取原则,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作为覆冰修正模型建模成果。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。
中文关键词: 输电线路  覆冰  增长函数  模型修正  
Abstract: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.
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