Transmission Line Icing Prediction Model Under Micro-Meteorological Conditions

doi:10.11930/j.issn.1004-9649.2014.2.58.5

Abstract

Abstract: Icing as a kind of special weather condition has causing serious impacts on overhead transmission lines. A study is made in this paper on the icing characteristics of the transmission lines under mountainous micro-meteorological conditions, which shows that, under different micro-meteorological conditions, the influencing factors of transmission line icing vary with different meteorological parameters. A model is established for every micro-meteorological point according to different influencing factors, based on which a combined forecasting model of transmission line icing is proposed according to neural networks and fuzzy logic algorithm. Experiments show that: the micro-meteorological area-based forecasting model of transmission line icing has a higher precision in prediction over the previous overall model and BP neural network and has a good practical application.

Key words: transmission line, micro-meteorology, icing prediction, neural network, fuzzy logics

CLC Number:

TM752

XU Jia-hao, ZHENG Wei, HUANG Xiao-ning, YANG Cheng-shun. Transmission Line Icing Prediction Model Under Micro-Meteorological Conditions[J]. Electric Power, 2014, 47(2): 58-63.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2014.2.58.5

https://www.electricpower.com.cn/EN/Y2014/V47/I2/58

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