| 基于神经网络模式的配电网故障定位 |
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| 引用本文： | 廖犬发,刘会金,傅志伟. 基于神经网络模式的配电网故障定位[J]. 湖北电力, 2004, 28(1): 9-10,18 |
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| 作者姓名： | 廖犬发 刘会金 傅志伟 |
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| 作者单位： | 武汉大学电气工程学院,武汉,430072;武汉大学电气工程学院,武汉,430072;武汉大学电气工程学院,武汉,430072 |
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| 摘 要： | 统一矩阵故障定位法在信息畸变模式下可能会造成误判；遗传算法则存在目标函数构造瓶颈问题。基于新型神经网络模式的配电网故障定位方法利用了FTU的特征量实现故障定位，具有一定的容错能力。仿真结果证明了该方法的有效性。
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| 关 键 词： | 配电网 故障定位 神经网络 |
| 文章编号： | 1006-3986(2004)01-0009-02 |
Fault-locating for Distribution Network Based on Neuro-net Model |
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| LIAO Quan-fa,LIU Hui-jin,FU Zhi-wei. Fault-locating for Distribution Network Based on Neuro-net Model[J]. Hubei Electric Power, 2004, 28(1): 9-10,18 |
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| Authors: | LIAO Quan-fa LIU Hui-jin FU Zhi-wei |
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| Abstract: | The fault locating in distribution networks based on unified matrix algorithm may result in false judge under the information distortion mode; the construction of the fitness function is a main bottleneck for the application of genetic algorithm. The method of fault section diagnosis of distribution networks based on new nerve network is presented in this paper. The method has high fault-tolerance performance and the result of simulation show that this method is effective. |
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| Keywords: | distribution networks fault section diagnosis nerve network |
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