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Self-Organized Criticality in Time Series of Power Systems Fault, Its Mechanism, and Potential Application

机译:电力系统故障时间序列中的自组织临界性,机理及其潜在应用

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摘要

The paper analyzed time series of fault in four transmission and distribution systems for evidence of self-organized criticality (SOC). The detrended fluctuation analysis (DFA) of the time series shows prominent long-time correlations. Furthermore, the probability distribution of number of faults per day has a power law tail. Thus, the time series of power system fault seem consistent with SOC. Detailed analysis showed that time series of fault in transmission systems derives its SOC from cascading outage within power system and SOC of atmosphere system, while the time series of fault in distribution systems derive its SOC from that of atmosphere system. The roles that cascade outage play in SOC of the time series of fault in distribution systems remain unknown. Since extreme climate will be more intense and frequent with climate variation, the skewed distribution of power systems fault will be intensified as a consequence. Potential application using SOC feature of time series of fault can be developed to facilitate power systems adaptation to climate change in an economical way.
机译:本文分析了四个输配电系统的故障时间序列,以提供自组织临界度(SOC)的证据。时间序列的去趋势波动分析(DFA)显示出突出的长期相关性。此外,每天故障数量的概率分布具有幂律尾部。因此,电力系统故障的时间序列似乎与SOC一致。详细分析表明,输电系统故障的时间序列是从电力系统内部的级联中断和大气系统的SOC得出的,而配电系统故障的时间序列是从大气系统的SOC得出的。级联中断在配电系统故障时间序列的SOC中所扮演的角色仍然未知。由于极端气候将随着气候变化而变得更加强烈和频繁,因此电力系统故障的偏斜分布将因此而加剧。可以开发利用故障时间序列的SOC特征的潜在应用,以经济的方式促进电力系统适应气候变化。

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