Title :
Study on the relationship between transmission line failure rate and lightning information based on Neo4j
Author :
Ma Yisong ; Wu Zhigang ; Guan Lin ; Zhou Baorong ; Li Rongrong
Author_Institution :
Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
Abstract :
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.
Keywords :
database management systems; failure analysis; hybrid power systems; lightning; power engineering computing; power grids; power transmission lines; power transmission reliability; AC-DC hybrid power grid; EAPs; Neo4j; data processing; enterprise application system; failure information; graph databases; high-performance network topology algorithms; information acquisition; lightning information; lightning region; nonlightning region; real large-scale regional grid; transmission line failure rate; Data models; Databases; Lightning; Power grids; Power system stability; Power transmission lines; data analysis; failure rate of transmission line; graph database; power system data;
Conference_Titel :
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location :
Chengdu
DOI :
10.1109/POWERCON.2014.6993713