EFPS系统固有漏电流追踪算法

Intelligence tracing arithmetic of inherence leakage current in EFPS system

提出了一种电气火灾监控系统中对配电线路剩余电流进行分析的方法,用于追踪配电线路固有漏电流成分的变化。定义了对地泄漏电流(TLCE)中固有对地漏电流ILCE、下级开关后对地漏电流TLCES及突发性对地漏电流BLCE三种成分;分析这三种成分各自的性质和特点,提出一种智能自动漏电报警门限值调节算法,可弥补配电线路固有漏电流随时间变化对电气火灾报警的影响,支持低压配电的安全保护及电气火灾监控系统设计理论与应用。

The paper proposes an artificial intelligence method to trace inherence leakage current between power line and earth in electric fire prevention system. It defines three ingredients of residual current detection TLCE （Total Leakage Current to Earth） as： II.CE （Inherence Leakage Current to Earth）, TLCES （Total Leakage Current to Earth after Sub--switch） and BLCE （Burst Leakage Current to Earth）. Then the paper analyzes the features of those three ingredients of leakage cur rent and gives out an artificial intelligence method to trace in herence leakage current which can be used in leakage current a larm threshold adjustment of electric fire prevention system.