基于电力大数据的电网企业认责溯源系统设计

Design of Accountability Traceability System for Power Grid Enterprises Based on Power Big Data

针对现有企业认责溯源系统溯源精度低、响应速度慢等问题,基于电力大数据研究电网企业认责溯源系统的优化设计。在现有系统的基础上,加设电力大数据处理器,安装电力数据采集设备、USB Key单元,改装系统的通信网络与供电模式。在硬件设备的支持下构建电网企业责任体系,认证用户的身份信息,通过提取电力数据的特征信息,确定电网故障/事故的发生位置以及类型。最终通过电网故障事件发生树得出溯源结果。通过系统测试可知:设计系统的功能执行精度可达到100%,且系统的响应时延控制在10 s之内,即在功能和性能等方面均具有较高优势。

Aiming at the problems of low traceability accuracy and slow response speed of the existing corporate responsibility traceability system,the optimization design of the power grid corporate responsibility traceability system is studied based on electric power big data.On the basis of the existing system,a power big data processor is added,power data acquisition equipment,USB Key unit are installed,and the communication network and power supply mode of the system are modified.It builds a power grid corporate responsibility system with the support of hardware equipment,authenticates users'identity information,and determines the location and type of grid faults/accidents by extracting characteristic information from power data.Finally,the traceability result is obtained through the grid fault event occurrence tree.Through the system test,it can be known that the function execution accuracy of the design system can reach 100%,and the response time delay of the system is controlled within 10s,that is,it has higher advantages in terms of function and performance.