基于小波熵和BP神经网络的孤岛检测与扰动辨识

摘要

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.%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.