摘要
在分析数学形态学基本形态变换及其组合形式的基础上,利用自适应方法实现形态梯度自适应加权组合,在提取高频暂态电流信号的同时,可有效抑制随机噪声的影响。在比较励磁涌流和故障电流形成暂态信号能量谱各自特点的基础上,提出了一种变压器保护新方案。该方案不受对称性涌流和非周期分量的影响。2套动模试验系统均验证了该方案的可行性。
On the basis of basic morphological transforms and their combined modes, transient current signals can be extracted by use of morphological gradient with adaptive weighting. Meanwhile various kinds of additive noises are effectively suppressed by adaptive approach. Based on the different characteristics of spectrum analysis of extracted transients between the short circuit current and the inrush current, a new method of transformer protection is proposed. This method can avoid the symmetrical inrush current and non-periodic components can be sufficiently depressed. The results of dynamic simulation verify the feasibility of the proposed method.
出处
《电力系统自动化》
EI
CSCD
北大核心
2006年第17期59-64,共6页
Automation of Electric Power Systems
基金
华北电力大学博士学位教师科研基金资助(200512003)。
关键词
变压器保护
形态梯度
自适应
暂态电流
励磁涌流
短路电流
transformer protection
morphological gradient
adaptive approach
transient current signal
inrush current
short circuit current
