新型变电站高压开关柜漏电火灾在线监测算法  

Online Monitoring Algorithm for Leakage Fire of High-voltage Switchgear Cabinet in New Substation

作　　者：戴强 马顺青 冶海平 李寿 孙士升 王伟 DAI Qiang;MA Shunqing;YE Haiping;LI Shou;SUN Shisheng;WANG Wei(State Grid Qinghai Haidong Electric Power Company,Qinghai Haidong 810600,China)

机构地区：[1]国网青海省电力公司海东供电公司,青海海东810600

出　　处：《高压电器》2024年第5期206-213,共8页High Voltage Apparatus

基　　金：国网青海省电力公司科技项目资助(SGQHHDOOYJJS2100547)。

摘　　要：新型变电站高压开关柜漏电火灾在线监测算法在监测的过程中存在漏电数据收集失误现象,火灾信息评估的完整程度较低,在监测的同时需调整算法机制,导致预警不及时,监测的精度较低。针对该问题,对新型变电站高压开关柜漏电火灾进行在线监测,首先针对开关柜漏电情况收集漏电数据,根据剩余电流判断漏电信息,及时捕捉精准的漏电区域数据,利用D-S证据理论融合算法对获取的漏电数据发生火灾的情况进行在线监测,构建识别框架并提取相似函数,判断达到火灾时的温度阈值,完成整体监测研究。根据分析的结果可知,该在线监测方法具有较强的监测及预警精度,在相同的条件下,火灾信号温度采集差值为1℃,系统整体虚警率为0.001%,剩余电流为310 mA,能够有效监测漏电信息及火灾发生情况,表明该方法具有较强的监测能力。The online monitoring algorithm for leakage fire of new high voltage switchgear cabinet in substation has the phenomenon of incorrect collection of leakage data during the monitoring process.The completeness of fire information assessment is low,and the algorithm mechanism needs to be adjusted while monitoring,resulting in untimely warning and low monitoring accuracy.In response to this issue,online monitoring of leakage fires in the high voltage switchgear cabinet of the new substation is carried out.Firstly,leakage data is collected based on the leakage situation of the switchgear cabinet,the leakage information is judged based on the residual current,and accurate leakage area data is captured in a timely manner.The D-S evidence theory fusion algorithm is used to online monitor the fire situation of the obtained leakage data,construct an identification framework,extract similarity functions,judge the temperature threshold at which the fire occurs and complete the overall monitoring study.It is known according to the analysis results that the online monitoring method has strong monitoring and warning accuracy.Under the same conditions,the temperature difference of the fire signal collection is 1℃,the overall false alarm rate of the system is 0.001%and the residual current is 310 mA.The method can effectively monitor leakage information and fire occurrence and indicate its strong monitoring ability.

关 键 词：变电站高压开关柜 开关柜漏电 漏电火灾 火灾在线监测 监测算法 

分 类 号：X932[环境科学与工程—安全科学] TM591[电气工程—电器]