| 基于改进BP算法的电力系统谐波分析 |
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| 引用本文： | 陈立伟,李思辉.基于改进BP算法的电力系统谐波分析[J].应用科技,2014(6):27-30. |
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| 作者姓名： | 陈立伟 李思辉 |
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| 作者单位： | 哈尔滨工程大学信息与通信工程学院; |
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| 基金项目： | 黑龙江省自然科学基金资助项目(F201413) |
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| 摘 要： | 在选取BP神经网络对谐波进行分析时，考虑到BP网络存在的缺点和不足，对BP网络进行改进。通过把FFT和改进的BP网络结合起来，实现对谐波的实时分析。该方法先对采样信号进行FFT运算实现预处理，得到谐波个数和谐波次数；然后根据谐波的个数来确定神经元的个数，通过谐波次数设定神经网络参数迭代的初始值；最后对改进的神经网络进行训练，可以实现谐波的精确分析。所提出的BP改进算法有效地提高了谐波分析的精度，实时性也得到了改善。
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| 关 键 词： | 神经网络 BP算法 谐波分析 电力系统 改进BP算法 |
Harmonic analysis of the electric power system based on the improved BP algorithm |
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| CHEN Liwei,LI Sihui.Harmonic analysis of the electric power system based on the improved BP algorithm[J].Applied Science and Technology,2014(6):27-30. |
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| Authors: | CHEN Liwei LI Sihui |
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| Institution: | (College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China) |
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| Abstract: | Considering the disadvantages of BP network, a BP neural network is improved to analyze harmonics. The FFT and the improved BP neural network are combined effectively to analyze the harmonic in real time. It first？ly pre？processes the sampled data signal by analyzing the signal with FFT algorithm, so as to get the number and or？der of harmonic waves, then determines the number of neurons according to the number of harmonic waves and sets the initial value of neural network parameter iteration, and finally trains the improved neural network, thereby reali？zing precise harmonic analysis. Simulation results show the improved BP neural network can improve the accuracy and the real？time performance of harmonic analysis. |
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| Keywords: | neural network BP algorithm harmonic analysis electric power system improved BP algorithm |
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