基于多源信息的智能电网动态层次化故障诊断

Dynamic Hierarchical Fault Diagnosis of Intelligent Power Network Based on the Multi-source Information

针对智能电网结构日趋复杂、系统信息呈多元化发展的特点,提出了一种新颖的故障诊断方法,包括用于快速诊断简单故障的开关层,着力解决开关和保护异动情况下复杂故障的馈线层,以及准确判断复杂系统环境下多类型故障的变电站层;同时采用动态跳转策略,调整诊断入口和结构.并且,将改进的深度优先搜索算法、Petri网推理与直觉不确定粗糙集约简方法分别应用于各层诊断中.仿真算例表明,本方法增强了各层诊断的适应性,提高了故障诊断的效率与精度,且能准确诊断多类型复杂故障,具有良好的实践应用价值.

Considering the complicated structure and the diversified information system of intelligent power network, a novel method for fault diagnosis was proposed. In the proposed method there were three parts including switch layer used for the simple fault diagnosis, feeder layer strived to resolve complex fault in the case of abnormal switch and protection information, and substation layer used to judge multi-type fault in the complex system. Simultaneously, dynamic diagnosis strategy was adopted to adjust diagnostic entrance and structure longitudinally. And the improved depth-first searching algorithm, Petri net reasoning and intuitionistic uncertainty-rough sets theory were applied to each layer respectively in the diagnosis. The simulation results showed that the adaptability of each layer diagnosis is enhanced, and the efficiency and accuracy of fault diagnosis are improved. In addition, kinds of complex fault can be accurately diagnosed with good practical application value.