| 改进的人工免疫分类算法在故障类型识别中的应用 |
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| 引用本文： | 祝志慧,聂建元.改进的人工免疫分类算法在故障类型识别中的应用[J].电力系统保护与控制,2011,39(10):80-85. |
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| 作者姓名： | 祝志慧 聂建元 |
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| 作者单位： | 1.华中农业大学工学院，湖北 武汉 430070;2.湖北团风县供电公司，湖北 黄冈 436800 |
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| 摘 要： | 提出将小波包变换和改进的免疫算法相结合，对输电线路故障类型进行识别。运用小波包将电压故障信号分解，提取三相的小波奇异熵作为免疫网络的抗原，利用免疫网络抗原-抗体识别原理进行故障类型识别。仿真结果表明：在相同实验条件下，与传统的ANN网络和SVM相比，该算法具有自适应连续学习的功能，对故障诊断系统可以连续不断的补充新样本。并且此故障类型识别方法不受系统运行方式、过渡电阻和故障位置等影响，具有较强的通用性，较高的精度，识别速度快和算法简单易实现。
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| 关 键 词： | 小波包分解 奇异熵 人工免疫 电力故障 识别 |
Application of improved artificial immune network classifier for failure identification |
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| ZHU Zhi-hui,NIE Jian-yuan.Application of improved artificial immune network classifier for failure identification[J].Power System Protection and Control,2011,39(10):80-85. |
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| Authors: | ZHU Zhi-hui NIE Jian-yuan |
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| Affiliation: | ZHU Zhi-hui1,NIE Jian-yuan2 (1. College of Engineering,Huazhong Agricultural University,Wuhan 430070,China,2. Tuanfeng County Power Supply Company,Huanggang 436800,China) |
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| Abstract: | Wavelet packet transform and the improved immune algorithm are combined for transmission line fault type identification. Wavelet packet is used to decompose fault voltages signals,and then fault three-phase wavelet singular entropy is extracted and regarded as the antigen of immune network.Fault type is recognized based on antigen-antibody recognition principle of immune network.Simulation shows that compared with traditional ANN and SVMs,the algorithm has adaptive and continuous learning ability so that th... |
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| Keywords: | wavelet packet singular entropy artificial immune power failure identification |
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