基于复合脆性关联度与改进Floyd算法的连锁故障预测

摘要

The essence of cascading failure in power systems is a propagation process of faults after the vunlerable compnents are attacked.In order to identify the propagation path of cascading failure, a method of cascading failure forecast is proposed based on compound vulnerability relevance and improved Floyd algorithm.Firstly, the mechanism of cascading failure is analyzed.Then, the power flow vulnerability relevance and network structure vulnerability relevance of different branches in the cascading failure are considered to establish the compound vulnerability relevance index for the forecast of cascading failure propagation.In addition, the vulnerable line set is also searched by the improved Floyd algorithm which can reduce the fault screening range and improve the computation efficiency.Finally, an IEEE 39-bus system is included to validate the accuracy and efficiency of proposed method.%电力系统连锁故障的实质是脆性源被攻击后电力系统中故障的传播过程.为了对连锁故障的传播路径进行辨识, 提出一种基于复合脆性关联度与改进Floyd算法的连锁故障预测方法.首先, 分析连锁故障传播机理;其次, 综合考虑连锁故障过程中各支路的潮流脆性关联度和网络结构脆性关联度, 构建支路复合脆性关联度指标以实现系统连锁故障预测;再次, 提出改进的Floyd算法, 用于搜索危险支路集、缩小故障筛选范围, 提高计算效率.最后, 结合IEEE 39节点标准算例系统, 构造多次连锁故障过程, 仿真结果验证该文所提出连锁故障的预测方法的正确性和快速性.