这篇论文在华中在传播和分发网络分析差错的统计,揭开力量系统差错的长期的自相关和幂定律分发,它显示那个力量系统差错自我组织 criticality (SOC ) 特征。结论与在场的冰暴风雨与在 2008 的力量系统数据一致。因为力量系统盖住大区域,气候是到它的安全和稳定性的关键因素。深入的分析证明空气系统的 SOC 贡献大部分到力量系统差错的。极端气候将与全球温暖更强烈、经常,它将在力量系统之上有越来越多的影响。力量系统差错的 SOC 特征被利用开发途径以一个节俭、有效的方法便于力量系统改编到气候变化。
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.