基于模型诊断和skyline查询的电网故障诊断

摘要 针对基于专家经验的电网故障诊断系统开发周期长，且难以诊断经验之外故障的问题，提出一种基于模型诊断和skyline查询的电网故障诊断方法.该方法根据测点分布将待诊断系统分解成若干独立子系统，利用故障输出与元件之间的因果关系建立系统模型，然后推理每个子系统的候选诊断，将实际告警信息引入到模型诊断逻辑框架中，运用skyline查询算法从候选诊断中识别故障元件.通过离线获得预备候选诊断，在线确认候选诊断的手段，缩减了诊断的时间，提高了诊断的效率，将实际告警信息引入到模型诊断的逻辑框架内，提高了诊断的有效性.仿真表明方法条理清晰，计算简便，能够有效地减少诊断时间和空间复杂度.
Abstract：The expert system used in power system fault diagnosis has a long development cycle and can not diagnose the faults beyond experiences. A kind of fault diagnosis of power system was proposed based on model-based diagnosis and skyline query. The diagnosed system was decomposed into several independent subsystems based on the distribution of measurement points. By establishing system models considering the causality between the system failure output and system element， candidate diagnosis of each subsystem was inferred. The actual alarm information was introduced into diagnosis logic framework to identify the fault element from candidate diagnosis by using skyline query. Ready candidate diagnosis was obtained offline and candidate diagnostic was confirmed online based on the proposed method， which saved the time of diagnosis. Actual alarm information was introduced into diagnosis logic framework， which improved the efficiency of diagnosis. The simulation results show that the method can effectively reduce the complexity of time and space.