摘要
采用现有的高压断路器机械特性测试仪进行机械特性测试时,需要人工频繁更换二次测试线,并且由于无法对断路器一次断口状态及弹簧储能状态进行逻辑判断,现场试验时往往需要人工复核并通过断路器机构箱储能电源进行弹簧储能,造成现场试验时间长、劳动强度大且安全性低。本文研制的自适应机械特性自动测量系统分析了自适应机械特性自动化在变电站现场的配置方法及要求,基于FPGA技术对机械特性参数进行读取与信号处理,并利用EM 9170工控主板将采集的多源信息数据上传至上位机软件进行结果分析判断,进而实现对断路器机械特性参数的实时采集与自动分析运算。通过对某110 kV变电站105断路器开展现场测试,验证了自适应机械特性自动测量系统可实现断路器机械特性自动测量,并且测试精度满足预期,测试效率得到有效提高。
When an existing high-voltage circuit breaker mechanical characteristic tester is used for mechanical characteristic testing,the secondary test line needs to be frequently replaced manually.And because it is impossible to logically judge the state of the circuit breaker’s primary break and the state of the spring energy storage,it is usually necessary to manually review and perform spring energy storage through the energy storage power of the circuit breaker mechanism box during the field test,resulting in long field test time,high labor intensity and lack of safety.The self-adaptive mechanical characteristic automatic measurement system developed in this paper analyzes the field configuration method and requirements of the self-adaptive mechanical characteristic automation in the substation.Based on FPGA technology,it reads the mechanical characteristic parameters and processes signals,then uses the EM 9170 industrial control motherboard to upload the collected multi-source information data to the host computer software for result analysis and judgment,so as to realize real-time collection and automatic analysis and calculation of the mechanical characteristic parameters of the circuit breaker.With the field test of the No.105 circuit breaker in a 110 kV substation as an example,it is verified that the system can achieve automatic measurement of the mechanical characteristics of the circuit breaker,with the test accuracy meeting the expectation and the test efficiency effectively improved.
作者
莫慧
MO Hui(Guangxi Mech.&Elec.Industry School,Guangxi Nanning,530023,China)
出处
《广西电力》
2020年第3期38-43,共6页
Guangxi Electric Power
关键词
高压断路器
机械特性
自适应
自动测量
high voltage circuit breaker
mechanical characteristics
self-adaptive
automatic measurement