基于故障群组合优化的变电站故障诊断

THE FAULT DIAGNOSIS FOR SUBSTATION BASED ON OPTIMIZING THE COMBINATION OF FAULT-MASSES

为处理好变电站故障诊断问题中故障源和故障征兆间因果关系的不确定性,提出了基于故障群组合优化的故障诊断方法。依据变电站运行方式和保护配置建立保护配合的 Petri 网模型,用该模型的状态转移方程获取所有的故障群-征兆群对子,创建故障群组合作为已知故障征兆诊断解的适应度函数,并用遗传算法搜索出最优诊断解。实验证明:该方法不仅能有效地辨识出故障源,而且能提供保护装置拒动、断路器拒动、信号传输错误等信息,对现场人员迅速确认故障设备非常有利。

In view of the uncertainties of the causalitie from fault sources to fault symptoms in the fault diagnosis fo substation, a new fault diagnosis method based on optimizin the combination of fault-masses is proposed in this paper. Th Petri-net models of protection scheme are established accordin to the protection scheme and the operation mode of substation and all couples of fault-masses and symptom-masses ar obtained with the help of the transferring-state equation of th Petri-net models. A new fitness function is presented to evaluat the feasibility that the combination of fault-masses acts as th optimal answer to the known fault symptoms, and the geneti algorithm is employed to search out the optimal answer. Th trials prove that the developed methodology is effective and ca supply detailed diagnosis results: fault sources, protectiv device non-operations, circuit breaker non-operations an missing signals. It is beneficial for the operators to confir broken-down components quickly.