Research And Design Of Power Grid Fault Disposal Based On Knowledge Graph

The rapid and accurate diagnosis and disposal of faults that occur in the power grid is an important aspect of ensuring the safe and stable operation of the grid.At present,the diagnosis and disposal of power grid faults rely on the support of decision-makers’professional knowledge,and need to make optimal decisions in a short period of time,lacking timeliness and stability.Therefore,this article focuses on studying a fast and accurate method for diagnosing and disposing of power grid faults.The following work has been carried out in this article:In this paper,a power grid fault diagnosis model based on multi-scale convolutional neural network is proposed for the extraction of time series features of alarm information.This model uses vectorized alarm information as input,achieves fault classification of the type,substation,and nature of fault devices,thereby reducing human intervention and achieving end-to-end power grid fault diagnosis.Experimental results show that the model can accurately distinguish various fault types in a massive data environment.In addition,a fault localization method based on knowledge graph is proposed,which enables fault device localization through knowledge inference.Experimental results demonstrate the effectiveness of the method in fault localization task of electricity grid.In this paper,a power grid fault disposal method based on knowledge graph is proposed for the disposal of specific fault types.This method uses fault disposal plans as a corpus and adopts a top-down construction method to design fault disposal knowledge graph pattern based on corpus characteristics.Through power grid entity knowledge graph reasoning,the process of power grid fault disposal is determined.In order to achieve knowledge extraction in the field of fault disposal,the RoBERTa-WWM-BiLSTM-CRF model and Bootstrapping algorithm are used for entity recognition and relationship extraction.Through comparative model testing,this model has a certain advantage in entity recognition in the field of power grid fault disposal.Finally,experimental results prove that this method can meet the requirements of power grid fault disposal,Combining the practical requirements of the power grid dispatch center,a power grid fault disposal system was designed and implemented,which can achieve end-to-end power grid fault diagnosis and efficient power grid fault disposal based on diagnostic results,solving the problem of lag and low precision caused by manual decision-making in fault disposal and improving the intelligence level of power grid fault disposal work in dispatch centers.After testing and verification,the system can complete the auxiliary decisionmaking work of power grid fault disposal in the dispatching center,improve the efficiency of regulation and disposal,and improve the intelligent level of power grid fault disposal.