摘要
传统的电网诊断方法在诊断220千伏以下的数据时,诊断时间过长,诊断效率差,无法对电网运行调控提供有效的数据。为了解决上述问题,基于电网大数据研究了一种新的220千伏以下电网诊断方法。通过采集广泛电网数据、站点电网数据、电网电压电流数据,对电网故障类型进行分析;利用相关FHN算法和相关CGU算法建立电网诊断模型,分析电网设备故障后电网运行方式,给出调整策略。通过对比实验可知,基于电网大数据的220千伏以下电网诊断方法能够在短时间内实现故障诊断,诊断效率高,对调控电网运行具有重要意义。
The traditional power grid diagnosis method in the diagnosis of data below 220 kV takes too long time,diagnosis efficiency is poor,and it can not provide effective data for power grid operation regulation.In order to solve the above problems,a new diagnostic method for power grids below 220 kV was researched based on the big data of the power grid.Analyzing of grid fault types by collecting extensive grid data,site grid data,grid voltage and current data.The related FHN algorithm and related CGU algorithm to establish a power grid diagnostic model,and the location of power grid equipment failures,the cause of component failures,and the time of failure are obtained.Analyzing the operation mode of the power grid after the failure of power grid equipment,and adjustment strategies are provided.Through comparative experiments,it can be known that the diagnostic method of power grids below 220 kV based on big data of the power grid can realize fault diagnosis in a short time,and the diagnosis efficiency is high,which is of great significance for regulating the operation of the power grid.
作者
李建
郭晓静
饶钰
陈晓东
LI Jian;GUO Xiaojing;RAO Yu;CHEN Xiaodong(State Grid Luoyang Electric Power Company,Luoyang Henan 471000,China)
出处
《自动化与仪器仪表》
2020年第10期211-214,共4页
Automation & Instrumentation
基金
国家自然科学基金:基于电网大数据的220千伏以下电网诊断方法(No.61738215)。
