| 基于dq变换和ANN的电能质量扰动辨识 |
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| 引用本文： | 徐永海,肖湘宁,杨以涵,陈学允.基于dq变换和ANN的电能质量扰动辨识[J].电力系统自动化,2001,25(14):24-28. |
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| 作者姓名： | 徐永海 肖湘宁 杨以涵 陈学允 |
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| 作者单位： | 1. 哈尔滨工业大学电气系,
2. 华北电力大学电力系, |
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| 基金项目： | 国家电力公司重大项目 (SPKJ0 11- 0 8)，国家电力公司智能保护与控制重点实验室资助项目 |
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| 摘 要： | 提出了一种利用dq变换提取信号特征，并结合神经网络来识别电能质量扰动信号类型的方法，该方法通过对测量的某一相电压由单相延迟构造三相，进行dq变换提取扰动的特征时，作为人工神经网络（ANN）的输入，从而对电能质量扰动信号类型进行识别，所提出的方法可用于电能质量扰动的实时监测与统计分析。仿真分析验证了该方法的有效性。
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| 关 键 词： | dq变换 人工神经网络 辨识 电能质量扰动 电力系统 |
| 收稿时间： | 1/1/1900 12:00:00 AM |
| 修稿时间： | 1/1/1900 12:00:00 AM |
POWER QUALITY DISTURBANCE IDENTIFICATION USING dq CONVERSION-BASED NEURAL CLASSIFIER |
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| Xu Yonghai ,Xiao Xiangning ,Yang Yihan ,Chen Xueyun.POWER QUALITY DISTURBANCE IDENTIFICATION USING dq CONVERSION-BASED NEURAL CLASSIFIER[J].Automation of Electric Power Systems,2001,25(14):24-28. |
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| Authors: | Xu Yonghai Xiao Xiangning Yang Yihan Chen Xueyun |
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| Affiliation: | Xu Yonghai 1,Xiao Xiangning 2,Yang Yihan 2,Chen Xueyun 1 |
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| Abstract: | This paper develops a method to detect and classify power quality disturbance waveforms using a novel combination of dq conversion and artificial neural networks.Through the fictitious three-phase voltages and the dq conversion of voltages,the obtained features are used as the inputs to the neural networks and then the automatic classification and identification of power quality disturbances are realized.The outcome of the study clearly indicates that the proposed method is attractive and effective.This is a big step towards the goal of automating the real-time monitoring,detection and classification of power quality disturbance waveforms. This work is supported by the major project of the State Power Corporation(SPC)(SPKJ011-08)and the Intelligent Project & Control Laboratory of SPC. |
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| Keywords: | dq conversion artificial neural network automatic classification and identification power quality disturbance |
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