| 基于动态时间弯曲距离的电压暂降源辨识方法 |
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| 引用本文： | 邱海峰,陈兵,袁晓冬,王旭冲,储佳伟,顾伟.基于动态时间弯曲距离的电压暂降源辨识方法[J].继电器,2017,45(13):7-13. |
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| 作者姓名： | 邱海峰 陈兵 袁晓冬 王旭冲 储佳伟 顾伟 |
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| 作者单位： | 东南大学电气工程学院，江苏 南京 210096,国网江苏省电力公司电力科学研究院，江苏 南京 211100,国网江苏省电力公司电力科学研究院，江苏 南京 211100,东南大学电气工程学院，江苏 南京 210096,东南大学电气工程学院，江苏 南京 210096,东南大学电气工程学院，江苏 南京 210096 |
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| 基金项目： | 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) |
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| 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。
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| 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 |
| 收稿时间： | 2016/7/6 0:00:00 |
| 修稿时间： | 2016/9/27 0:00:00 |
Identification of voltage sag sources based on DTW |
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| QIU Haifeng,CHEN Bing,YUAN Xiaodong,WANG Xuchong,CHU Jiawei and GU Wei.Identification of voltage sag sources based on DTW[J].Relay,2017,45(13):7-13. |
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| Authors: | QIU Haifeng CHEN Bing YUAN Xiaodong WANG Xuchong CHU Jiawei and GU Wei |
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| Affiliation: | School of Electrical Engineering, Southeast University, Nanjing 210096, China,State Grid Jiangsu Electrical Power Company Research Institute, Nanjing 211100, China,State Grid Jiangsu Electrical Power Company Research Institute, Nanjing 211100, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China and School of Electrical Engineering, Southeast University, Nanjing 210096, China |
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| Abstract: | In order to realize the accurate identification of various voltage sag sources, a method based on dynamic time 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. This work is supported by National Natural Science Foundation of China (No. 51477029) and Science and Technology Program of State Grid Jiangsu Electrical Power Company (No. 5210EF14001R). |
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| Keywords: | power quality voltage sag source waveform matching identification dynamic time warping |
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