摘要
为了实现对各类型电压暂降源的准确辨识,从波形相似性检测的角度提出了一种基于动态时间弯曲距离的电压暂降源辨识方法。通过仿真模型分析了基本电压暂降和经不同类型变压器传播后各类暂降的波性特征,构建了电压暂降类型与暂降原因及变压器类型的映射关系。利用9种电压暂降波形数据构建匹配库,采用动态时间弯曲距离法将实测的电压暂降波形数据与匹配库波形数据进行匹配分析,实现电压暂降源的辨识。仿真分析的结果表明,该方法能够对电网中出现的各种类型电压暂降进行辨识,具有较高的准确性和有效性,满足工程应用的需求。
In order to realize the accurate identification of various voltage sag sources, a method baseta on aynamlc ume warping (DTW) is proposed from the perspective of waveform similarity detection. First of all, the simulation model is used to analyze the characteristics of basic voltage sags and its different types after the transmission of transformers, the relationship among voltage sag types, causes and transformer types is established. Then, DTW is used to match the measured voltage sag and the matching library, which is formed by nine kinds of voltage sag. Simulation results show that the method can identify various type of voltage sag of power grid and is accurate and effective in engineering application.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2017年第13期7-13,共7页
Power System Protection and Control
基金
国家自然科学基金项目(51477029)
国网江苏省电力公司科技项目(5210EF14001R)~~
关键词
电能质量
电压暂降源
波形匹配
辨识
动态时间弯曲距离
power quality
voltage sag source
waveform matching
identification
dynamic time warping