globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:5336137
论文题名:
配电网故障统计特性及其形成机理分析
其他题名: Statistical Distribution of Power System Fault in Power Grid and Analysis of Its Mechanism
作者: 谭米1; 苏盛1; 易文韬2
刊名: 电力系统及其自动化学报
ISSN: 1003-8930
出版年: 2015
卷: 27, 期:1, 页码:1-4,12
语种: 中文
中文关键词: 电网故障 ; 长程相关性 ; 幂律分布 ; 指数分布
英文关键词: power system fault ; long-term correlation ; power law distribution ; exponential distribution
WOS学科分类: ENGINEERING ELECTRICAL ELECTRONIC
WOS研究方向: Engineering
中文摘要: 为研究配电网故障统计特性及其形成机理,提取了南昌电网20062009年间的逐日故障信息。利用指数分布和幂律分布在单对数坐标及双对数坐标下呈直线状的特点,在两种坐标下绘图比对,发现配电网故障在双对数坐标下呈直线状具有幂律特性;而去除故障极值日数据后,故障累计分布在单对数坐标下呈直线状,具有指数分布特性。应用去势分析法分析故障序列,故障数据具有明显的长程自相关性。故障极值日的故障原因记录及气象信息均表明,极端天气是造成南昌配电网极值故障和故障幂律分布特性的根本原因。
英文摘要: In order to carry out the research on the statistical distribution of power grid fault and its mechanism, the fault data of Nanchang distribution network from 2006 to 2009 are investigated in the article. It is discovered that the complementary cumulative distribution function (CCDF)of fault appears as a line on the log-log plot, which indicate it follow power law distribution. Whereas, the CCDF of truncated fault appears as a line on the log-linear plot, which indicate it follows exponential distribution. Moreover, detrended fluctuation analysis show that the fault data behaving long term autocorrelation. Records of the days with largest number of fault and meteorological data suggest that the extreme climate contribute to the power law distribution of fault in Nanchang distribution network.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/156791
Appears in Collections:气候变化事实与影响

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作者单位: 1.长沙理工大学电气与信息工程学院, 湖南电力系统安全运行与控制重点实验室, 长沙, 湖南 410004, 中国
2.南昌供电公司电力调度控制中心, 南昌, 江西 330000, 中国

Recommended Citation:
谭米,苏盛,易文韬. 配电网故障统计特性及其形成机理分析[J]. 电力系统及其自动化学报,2015-01-01,27(1):1-4,12
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