摘要
气体绝缘开关设备的热特性状态辨识方法不足的问题使得运维人员难以对GIS的状态得到实时全面的了解,因此本文提出了利用GIS壳体温度计算热特性参数并实现状态辨识的方法。首先基于GIS的温升效应,定义温度变化率和温度变化加速度为热特性状态辨识的特征参数,其次将状态分为正常运行、临界警告和故障三种状态并分别设定状态分类的范围,然后基于边缘计算快速处理和优先决策的优点设计了GIS热特性状态辨识体系。最后,通过建立GIS母线三维有限元模型,改变电流流通的大小和时间得到三种状态下热特性参数的取值规律。仿真结果表明三种状态下的热特性参数差异明显,故障状态下的温度变化率和温度变化加速度可达到其他状态的5-10倍,因此方法可以快速有效的实现热特性状态辨识,为运行维护和状态感知提供了依据。
The shortage of thermal characteristic state identification methods for gas-insulated switchgear makes it difficult for operating and maintance personnel to obtain a real-time and comprehensive understanding of the state of GIS,so this paper proposes a method to calculate thermal characteristic parameters by using the GIS enclosure temperature and achieve state identification. First,based on the temperature raise effect of GIS,this paper defines the rate of temperature change and acceleration of temperature change as characteristic parameters for thermal characteristic state identification. Secondly,the state is classified into normal operation,critical warning and fault and the range of state classification is set respectively. Finally,by establishing a three-dimensional finite element model of the GIS bus,the magnitude and time of the current flow are varied to obtain the value laws of the thermal characteristics parameters in the three states. Therefore,the method can quickly and effectively identify thermal characteristics and provide a basis for operation and maintenance and condition awareness.
作者
程占峰
夏博
李波涛
王兴江
朱思尧
CHENG Zhanfeng;XIA Bo;LI Botao;WANG Xingjiang;ZHU Siyao(Zhangjiakou Power Supply Company of State Grid Jibei Elecri Power Co.,Itd.,Zhangiakou 07500 Hebei,China;China University of Mining and Technology,Xuzhou 2111 Jangu,Chin)
出处
《电力大数据》
2020年第11期31-37,共7页
Power Systems and Big Data
关键词
边缘计算
母线
热特性
温升
状态辨识
edge computing
busbar
thermal characteristic
temperature rise
state classification
