摘要
根据单相接地的故障特性,将小波包和信息熵结合对故障暂态电流进行分析,定义能谱熵作为单相接地故障的暂态普适特征量,定量量度暂态的不确定性。分析了故障暂态信号频谱分布的特性规律,定义能谱熵测度及饱和熵来统计信号能量的复杂度。提出基于多尺度能谱熵测度的故障模式分类方法,将单相接地故障分为强故障、小角故障、弱故障3类模式。在此基础上,提出了基于故障模式识别的自适应选线方法。仿真和故障录波数据验证了该方法的有效性。
The transient fault-current is studied using wavelet analysis combined with entropy.The energy entropy is defined as universal applicable parameter which measures the degree of uncertainty and complexity of fault transient quantitatively.The energy entropy measure and saturation entropy are defined to make statistic of the fault energy rules according to analyzing the characteristics of spectrum energy distributions.The multi-scale energy entropy measure is found and used to cluster fault models.Then,the single-phase-to-ground fault is divided into three classes: strong fault,small angle fault and weak fault,based on which the adaptive fault line selection method is proposed.The effectiveness of proposed method is proven by simulation and fault recording data.
出处
《电力系统自动化》
EI
CSCD
北大核心
2012年第5期103-107,111,共6页
Automation of Electric Power Systems
基金
陕西省教育厅科研计划资助项目(2010JK688)~~
关键词
谐振接地电网
单相接地故障
能谱熵测度
自适应选线
模式识别
resonant grounded system
single-phase-to-ground fault
energy entropy measure
adaptive fault line selection
pattern recognition