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作 者:SU Sheng LI YinHong DUAN XianZhong
出 处:《Chinese Science Bulletin》2009年第7期1251-1259,共9页
基 金:Supported by the National Basic Research Program of China (Grant No. 2009CB219701);National Natural Science Foundation of China (Grant No. 50595414);Youth Scientific & Technological Innovation Project of CSEE
摘 要:This paper analyzes the statistics of faults in a transmission and distribution networks in central China, unveils long-term autocorrelation and power law distribution of power system faults, which indicates that power system fault has self-organized criticality (SOC) feature. The conclusion is consistent with the power systems data in 2008 with ice storm present. Since power systems cover large areas, climate is the key factor to its safety and stability. In-depth analysis shows that the SOC of atmosphere system contributes much to that of power system faults. Extreme climate will be more intense and frequent with global warming, it will have more and more impact upon power systems. The SOC feature of power system faults is utilized to develop approaches to facilitate power systems adaptation to climate variation in an economical and efficient way.This paper analyzes the statistics of faults in a transmission and distribution networks in central China, unveils long-term autocorrelation and power law distribution of power system faults, which indicates that power system fault has self-organized criticality (SOC) feature. The conclusion is consistent with the power systems data in 2008 with ice storm present. Since power systems cover large areas, climate is the key factor to its safety and stability. In-depth analysis shows that the SOC of atmosphere system contributes much to that of power system faults. Extreme climate will be more intense and frequent with global warming, it will have more and more impact upon power systems. The SOC feature of power system faults is utilized to develop approaches to facilitate power systems adaptation to climate variation in an economical and efficient way.
关 键 词:电力系统故障 自组织临界性 极端气候 应用 全球气候变暖 配电网络 统计数据 华中地区
分 类 号:TM711[电气工程—电力系统及自动化] S762[农业科学—森林保护学]
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