文章摘要
黄勇,魏瑞增,周恩泽,等.台风灾害下输电线路损毁预警方法[J].电力系统自动化,2018,42(23):142-147. DOI: 10.7500/AEPS20180308003.
HUANG Yong,WEI Ruizeng,ZHOU Enze, et al.Early Warning Method of Transmission Line Damage Under Typhoon Disaster[J].Automation of Electric Power Systems,2018,42(23):142-147. DOI: 10.7500/AEPS20180308003.
台风灾害下输电线路损毁预警方法
Early Warning Method of Transmission Line Damage Under Typhoon Disaster
DOI:10.7500/AEPS20180308003
关键词: 自然灾害  台风  输电线路  损毁  预警  分布函数  应力强度干涉模型  可靠性
KeyWords: natural disaster  thphoon  transmission line  damage  early-warning  distribution function  stress intensity interference model  reliability
上网日期:2018-09-03
基金项目:中国南方电网有限责任公司科技项目(GDKJXM20162449)
作者单位E-mail
黄勇 广东电网有限责任公司电力科学研究院, 广东省广州市 510080  
魏瑞增 广东电网有限责任公司电力科学研究院, 广东省广州市 510080  
周恩泽 广东电网有限责任公司电力科学研究院, 广东省广州市 510080  
张壮领 广东电网有限责任公司应急抢修中心, 广东省广州市 510080  
侯慧 武汉理工大学自动化学院, 湖北省武汉市 430070 houhui@whut.edu.cn 
耿浩 武汉理工大学自动化学院, 湖北省武汉市 430070  
摘要:
      台风会造成输电线路损毁严重。为减少损失,有必要研究输电线路损毁预警方法。针对目前输电线路损毁预警方法精度较低、假设条件过多等问题,提出了一种新的预警方法。该方法首先根据相应台风预测信息对所需预警区域进行单位网格划分;然后采用正态分布函数及极值Ⅰ型分布函数对输电线路风荷载概率分布函数进行拟合,并基于应力强度干涉模型计算输电线路损毁概率;接着参考台风24 h及48 h警戒线,差异化选取预警时间间隔输出预警结果。最后通过算例分析验证了所提方法的科学性及有效性。
Abstract:
      Typhoon disasters can cause serious damages to transmission lines. In order to reduce the losses, it is necessary to study early warning methods of transmission line damage. However, the existing methods for early warning of transmission line damage suffer from problems such as low accuracy and excessive assumptions, thus a new warning method is proposed to against these problems. In this method, the grid division is firstly carried out on the required early warning areas according to the corresponding typhoon prediction information. Secondly, the probability distribution of wind load is fitted by normal distribution and extremeⅠdistribution function, and the failure probability of transmission lines is calculated based on the stress intensity interference model. Then referring to the warning line of typhoon for 24 hours and 48 hours, the differentiation interval of warning time is chosen, and the warning output is given. Finally, the method is proved to be scientific and effective by case study.
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