Carreras B. A., Lynch V. E., Dobson I., Newman D. E.
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831.
Chaos. 2002 Dec;12(4):985-994. doi: 10.1063/1.1505810.
Cascading failures in large-scale electric power transmission systems are an important cause of blackouts. Analysis of North American blackout data has revealed power law (algebraic) tails in the blackout size probability distribution which suggests a dynamical origin. With this observation as motivation, we examine cascading failure in a simplified transmission system model as load power demand is increased. The model represents generators, loads, the transmission line network, and the operating limits on these components. Two types of critical points are identified and are characterized by transmission line flow limits and generator capability limits, respectively. Results are obtained for tree networks of a regular form and a more realistic 118-node network. It is found that operation near critical points can produce power law tails in the blackout size probability distribution similar to those observed. The complex nature of the solution space due to the interaction of the two critical points is examined.(c) 2002 American Institute of Physics.
大规模输电系统中的连锁故障是停电的一个重要原因。对北美停电数据的分析揭示了停电规模概率分布中的幂律(代数)尾部,这表明其具有动态起源。基于这一观察结果,我们在一个简化的输电系统模型中,随着负载电力需求的增加来研究连锁故障。该模型表示发电机、负载、输电线路网络以及这些组件的运行极限。识别出了两种类型的临界点,分别以输电线路流量极限和发电机能力极限为特征。针对规则形式的树状网络和更实际的118节点网络得出了结果。发现接近临界点运行会在停电规模概率分布中产生与观察到的类似的幂律尾部。研究了由于两个临界点相互作用而导致的解空间的复杂性质。(c)2002美国物理研究所