基于大数据引擎的理论线损图形化管理研究

理论线损计算是电网运行管理中的一项基础而重要的工作,但计算所需的基础数据极为庞杂,包括电网拓扑结构、电网图形数据、售电信息、电网设备材料、材料基本参数、实时监测数据等。为解决目前理论线损计算系统中基础数据都由人工输入、缺乏直观图形展示的问题,文章研究应用大数据引擎技术实现多系统数据撷取、融合、加工和展示,打造一套基础数据智能化全自动搜集的理论线损图形化管理系统,提升电力企业线损业务管理水平。

Research on Theoretical Line Loss Graphical Management Based on Big Data Engine

Theoretical line loss calculation is a fundamental and important work of power grid operation management, but the basic data required to calculate is very complex, including network topology, network graphic data, the electricity sale data, power grid equipment and materials parameters, real-time monitoring data, etc. To solve the problems such as manual input data and lack of intuitive graphical display, this paper proposes a theoretical line loss graphical management system based on big data engine, utilizing big data engine technology to achieve data acquisition, integration processing and display. The system can atttomatically collect basic data from multi-systems and finish the graphical display of theoretical line loss information, which improves the line loss management level for power enterprises.