摘要
根据电力变压器铁磁谐振电流畸变的特性,提出了一种新型的铁磁谐振检测方法。该方法以电流基频分量小于设定阈值且电流最大值超过设定阈值作为算法的启动,利用尖峰与间隔角占空比的检测来确定尖峰脉冲特性从而判别铁磁谐振的发生,并利用尖峰的时间间隔统计来识别谐振周期并判断谐振模式。分析了铁磁谐振电流与励磁涌流的区别,提出对称间断角检测的方法来排除励磁涌流的干扰。对检测方法进行了算例仿真,准确检测到铁磁谐振发生,并对谐振模式识别正确,验证了该检测方法的正确性。
Based on the features of the current distortion during power transformer ferroresonance,this paper proposes a novel ferroresonance detection scheme.The scheme adopts the low current power frequency component which is smaller than the set thresholds and the maximum value of current which exceeds the set thresholds as start elements,determines the spike characteristics using the duty cycle detection of sharp spike and long dead angle to identify the occurrence of ferroresonance,and discerns the mode of the ferroresonance by analysis of the spikes intervals statistical regularity.The paper analyzes the differences between ferroresonance and inrush current,raising a symmetrical dead angle detection method to distinguish ferroresonance from inrush current.Through simulation tests,the detection scheme proves to be effective and reliable.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2011年第9期102-107,共6页
Power System Protection and Control
基金
国家自然科学基金重点基金资助项目(50937003)
清华大学电力系统国家重点实验室重点基金资助项目(SKLD09M04)~~
关键词
电力变压器
铁磁谐振
在线检测
电流检测
间断角检测
power transformer
ferroresonance
online detection
current detection
dead angle detection
