Li Rongrong

Study on the relationship between transmission line failure rate and lightning information based on Neo4j

Data of modern AC/DC hybrid power grid has become more and more complex with the dramatically extended volume because of the significant development of the technology of information acquisition and data processing during the past few decades. It will be of importance for the control and operation of power grid by using new methods to analyze the more enriched and disparate data. In this paper, Neo4j, one of the most outstanding graph databases in the world, is used to integrate the data related with lighting and failure information from different enterprise application system (EAPs). With the help of high-performance network topology algorithms provided by Neo4j, conventional failure rate of transmission line can be further divided into two different failure rates corresponding to the lightning region and non-lightning region, while the relationship between the lightning information and the failure rate of transmission lines can be drawn more clearly by comparing the two types of failure rates. The conclusion is validated in a real large-scale regional grid at the end of this paper.