{"title":"Power quality monitoring and its visualization application based on graph database","authors":"Fang Lin, Yan Lin, Huiyu Zhang, Daoshan Huang","doi":"10.1109/ACPEE51499.2021.9436956","DOIUrl":null,"url":null,"abstract":"Power quality monitoring involves multiple types of interrelated data information, and the relationship between data entities is complex and dense, so graph database is more suitable for storage. Based on graph database and power graph computing platform, a power quality monitoring and visualization system based on the graph database is proposed. The power grid spatial data, real-time data of power grid users and equipment, and geographic environment data of power grid topology and its connection are stored through the graph database, so as to calculate the power graph related to power quality monitoring. Through the human-machine interface of the graph database query design, the multi-directional multi-angle visual display of power quality monitoring applications such as voltage sag location and voltage sag risk assessment are carried out.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACPEE51499.2021.9436956","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Power quality monitoring involves multiple types of interrelated data information, and the relationship between data entities is complex and dense, so graph database is more suitable for storage. Based on graph database and power graph computing platform, a power quality monitoring and visualization system based on the graph database is proposed. The power grid spatial data, real-time data of power grid users and equipment, and geographic environment data of power grid topology and its connection are stored through the graph database, so as to calculate the power graph related to power quality monitoring. Through the human-machine interface of the graph database query design, the multi-directional multi-angle visual display of power quality monitoring applications such as voltage sag location and voltage sag risk assessment are carried out.