摘要
大数据的配网设备的健康度分析需要从配网设备的缺陷及处理方法上进行研究,目前用户是电力系统的最终服务对象,配网设备的运行管理是用户的第一系统。从配网设备数据中能够看到配网设备在整个供电的过程中需要通过实际的技术对健康度进行测量,要考虑到配网的安全性以及缩短停电的具体范围,最后快速实现配网设备健康供电使用的过程。从工程生产管理系统(power production management system,PMS)、用电信息采集等电网运行管理系统中需要获得更多配网线损计算所依赖的出线开关、公专变等设备台帐、电网拓扑、电网运行数据,同时还需要快速构建出电网能力的节点相关模型图,对各类数据进行简单的管理,提升自身的基础质量,为配网设备的健康度计算打下坚实的基础。采用分布式计算技术能够保证销售电量的时间快速同步,了解目前配网设备的健康情况,找出影响健康度的原因,提出提高健康度的措施,满足了健康度管理日益精细化要求。
The health analysis of large data distribution network equipment needs to be studied from the defect of distribution network equipment and processing methods.At present,users are the ultimate service object of power system,and the operation and management of distribution network equipment is the first system of users.From the data of distribution network equipment,it can be seen that the health of distribution network equipment needs to be measured by practical technology in the whole process of power supply and the safety of distribution network and the specific scope of power cuts should be taken into account.Finally,the process of healthy power supply for distribution network is rapidly realized.It is necessary to obtain more distribution line losses from power grid operation management systems such as engineering production management system(power production management system,PMS)and electricity information collection to calculate the equipment account,power network topology and power grid operation data depending on outgoing switches,public transformers,etc.At the same time,it is necessary to quickly construct node-related model diagrams of power grid capacity,simply manage all kinds of data,improve the basic quality of itself,and lay a solid foundation for the health calculation of distribution network equipment.Distributed computing technology can ensure the time synchronization of electricity sales,understand the current health situation of distribution network equipment,find out the reasons affecting health,propose measures to improve health,and meet the increasingly refined requirements of health management.
作者
陈童
陈国宇
杨永
CHEN Tong;CHEN Guo-yu;YANG Yong(Maoming Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Maoming 525100,China)
出处
《通信电源技术》
2018年第11期155-156,共2页
Telecom Power Technology
关键词
大数据
配网设备
线损情况
big data
distribution network equipment
line loss situation
