用连锁故障搜索算法判别系统的自组织临界状态

根据复杂系统理论，电力系统在自组织临界状态下发生连锁故障的概率将会大大提高。为了判断某个实际电力系统是否处于自组织临界状态，进而提醒工作人员注意并采取一定措施，该文建立了基于交流潮流、考虑隐藏故障特性的连锁故障搜索算法，并利用该算法对华北电网进行了分析，得出了华北电网处于自组织临界状态的结论。分析了负载情况对系统发生连锁故障概率的影响，发现系统负载较均匀时发生连锁故障的概率将大大降低。

Determining the Self-organized Criticality State of Power Systems by the Cascading Failures Searching Method

According to complex system theory, power systems in self-organized criticality (SOC) state have high probability of occurring of cascading failures. For the purpose of determining if a power system is in SOC state, a cascading failure searching method is established. The method is based on revised Newton method and considers hidden failures in protection systems. And then it is used to analyze the Huabei power system and the system is testified in SOC state. Finally, the impact of loading on the probability of occurring of cascading failures is studied, and a phenomenon that power systems with more uniform loading have lower probability of occurring of cascading failures is found.