| 基于小波熵和BP神经网络的孤岛检测与扰动辨识 |
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| 引用本文： | 梁雪飞,陈歆技. 基于小波熵和BP神经网络的孤岛检测与扰动辨识[J]. 电网与水力发电进展, 2012, 28(6): 61-65 |
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| 作者姓名： | 梁雪飞 陈歆技 |
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| 作者单位： | 东南大学电气工程学院,江苏 南京,210096 |
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| 摘 要： | 提出基于小波熵和BP神经网络的孤岛检测技术，将小波变换的多分辨率分析与信息熵技术结合，能够有效地区分电网扰动与孤岛现象的内在不同。仿真实验表明该方法具有较高的准确性。
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| 关 键 词： | 孤岛；电压扰动；小波；多分辨率分析；熵；神经网络 |
Islanding Detection and Disturbance Disturbance Based on Wavelet Entropy Theory and BP Neural Network |
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| LIANG Xue-fei and CHEN Xin-ji. Islanding Detection and Disturbance Disturbance Based on Wavelet Entropy Theory and BP Neural Network[J]. Advance of Power System & Hydroelectric Engineering, 2012, 28(6): 61-65 |
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| Authors: | LIANG Xue-fei and CHEN Xin-ji |
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| Affiliation: | chool of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China;chool of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China |
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| Abstract: | A novel islanding detection based on the wavelet entropy and BP neural network is presented in this paper. By combining the multi-resolution analysis of wavelet and the entropy technology, the internal different features between islanding and grid disturbance can be distinguished effectively. Verification of simulation indicates a higher accuracy of this method. |
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