Risk Assessment of Transmission Lines Trip-out Caused by Floaters Based on Joint Probability Density Function of Extreme Wind Speed and Direction
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Risk Assessment of Transmission Lines Trip-out Caused by Floaters Based on Joint Probability Density Function of Extreme Wind Speed and Direction
Vol. 44, Issue 4, Pages: 1085-1092(2018)
作者机构:
1. 广州供电局有限公司
2. 华南理工大学电力学院
作者简介:
基金信息:
DOI:
CLC:
Published Online:10 May 2018,
Published:2018
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MO Wenxiong, BAI Jianfeng, ZHU Wen, et al. Risk Assessment of Transmission Lines Trip-out Caused by Floaters Based on Joint Probability Density Function of Extreme Wind Speed and Direction[J]. 2018, 44(4): 1085-1092.
DOI:
MO Wenxiong, BAI Jianfeng, ZHU Wen, et al. Risk Assessment of Transmission Lines Trip-out Caused by Floaters Based on Joint Probability Density Function of Extreme Wind Speed and Direction[J]. 2018, 44(4): 1085-1092.DOI:
Risk Assessment of Transmission Lines Trip-out Caused by Floaters Based on Joint Probability Density Function of Extreme Wind Speed and Direction
An approach based on Joint Probability Density Function(JPDF) of extreme wind speed and direction
combined with the characteristic parameters of lines and geographical environment factors
is proposed in order to evaluate the risk of transmission lines trip-out caused by floaters.Firstly
the JPDF of extreme wind speed and direction is calculated by two variables
namely the extreme wind speed and its wind direction angle.Secondly
the fault sensitivity parameters are calculated according to the characteristic parameters of lines
the angle between line and wind direction
and the local environment of the transmission corridor.Finally
based on the distribution of floater density in the area
the probability of the trip-out caused by floaters is calculated in different months and line segments
and the evaluation of space-time risk for line trip-out caused by floaters is realized.Based on the proposed method
the probability of line trip-out caused by floaters is calculated and the risk grade is determined according to the probability by the example of one of the power grids in a south city.The results show that the risk grade is basically consistent with the operation data
and the effectiveness of the proposed method is proved.