| 一种电能质量扰动监测与识别新方法 |
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| 引用本文： | 曹健,林涛,徐遐龄,刘林. 一种电能质量扰动监测与识别新方法[J]. 中国电机工程学报, 2011, 31(31) |
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| 作者姓名： | 曹健 林涛 徐遐龄 刘林 |
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| 作者单位： | 1. 武汉大学电气工程学院,湖北省武汉市,430072
2. 华中电力调度中心,湖北省武汉市,430072 |
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| 基金项目： | 国家自然科学基金项目(50677044)~~ |
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| 摘 要： | 为了能够为各类电能扰动事件的本质研究和有效治理提供准确、可靠的依据,提出基于时频原子变换（timefrequency transform,TFT）和改进型自组织映射神经网络（improved self-organizing map,ISOM）的电能质量扰动在线监测与识别新方法。TFT具有自适应复带通滤波特性,其频窗中心与频窗半径解耦及频窗宽度不受中心频率的约束,可以灵活调整。通过设置恰当的频域窗口,TFT可有效抑制邻近频率分量的相互干扰,且有较好的动态响应速度。TFT能准确监测电力系统波形中电能质量事件,并为类型识别提供物理意义明确、指标具体的实时模式特征。依据TFT提取的特征向量,ISOM可准确识别单一或同时存在的多重电能质量事件,并对其严重程度进行直观表达,能动态反映电能质量事件各自的发展变化轨迹。仿真验证结果表明了所提出方法的有效性和优越性。
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| 关 键 词： | 电能质量 时频原子变换 模式识别 改进型自组织映射神经网络 |
A New Method for Measurement and Classification of Power Quality Disturbance |
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| CAO Jian,LIN Tao,XU Xialing,LIU Lin. A New Method for Measurement and Classification of Power Quality Disturbance[J]. Proceedings of the CSEE, 2011, 31(31) |
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| Authors: | CAO Jian LIN Tao XU Xialing LIU Lin |
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| Affiliation: | CAO Jian1,LIN Tao1,XU Xialing2,LIU Lin1(1.School of Electrical Engineering,Wuhan University,Wuhan 430072,Hubei Province,China,2.Central China Power Dispatching Center,Wuhan 430077,China) |
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| Abstract: | In order to supply accurate and reliable basis for the essential research and effective management of various power disturbance events,a new method for power disturbance events online monitoring and identifying was presented in this paper based on time frequency transform(TFT) and improved self-organizing map(ISOM).TFT has adaptive complex band-pass filtering capability and decouples the center and width of frequency window.The frequency window width can be flexibly adjusted from the constraints of central ... |
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| Keywords: | power quality time frequency transform(TFT) pattern recognition improved self-organizing map artificial neural network(ISOM) |
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