基于图形数据库的电能质量监测及其可视化应用

Fang Lin, Yan Lin, Huiyu Zhang, Daoshan Huang
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引用次数: 0

摘要

电能质量监测涉及到多种类型的相互关联的数据信息,数据实体之间的关系复杂密集,因此图形数据库更适合存储。基于图形数据库和功率图计算平台,提出了一种基于图形数据库的电能质量监测与可视化系统。通过图形数据库存储电网空间数据、电网用户和设备的实时数据、电网拓扑及其连接的地理环境数据,从而计算出与电能质量监测相关的功率图。通过图形数据库查询设计的人机界面,实现了电压凹陷定位、电压凹陷风险评估等电能质量监测应用的多方位多角度可视化显示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power quality monitoring and its visualization application based on graph database
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.
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