| 基于改进的神经网络高精度谐波分析方法 |
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| 引用本文： | 王好娜,付志红,侯兴哲,张淮清,王勇.基于改进的神经网络高精度谐波分析方法[J].低压电器,2011(8):26-30. |
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| 作者姓名： | 王好娜 付志红 侯兴哲 张淮清 王勇 |
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| 作者单位： | 重庆大学电气工程学院输配电装备及系统安全与新技术国家重点实验室;重庆电力科学试验研究院; |
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| 基金项目： | 重庆大学研究生科技创新基金(CDJXS111500017) |
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| 摘 要： | 通过滤波器和牛顿插值算法,得到了高精度的基波频率;用改进的线性人工神经网络方法进行谐波测量;给出了该方法用于谐波分析的算例。仿真结果表明：该方法在系统频率波动时,依然能得到高精度的谐波分析信息,其精度远高于快速傅里叶算法与加汉宁窗的傅里叶算法,在电力系统谐波分析中有一定的应用价值。
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| 关 键 词： | 人工神经网络 谐波分析 电力 牛顿插值 |
High-precision Harmonic Analysis Method Based on Improved Neural Network |
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| WAN Haona,FU Zhihong,HOU Xingzhe,ZHANG Huaiqing,WANG Yong.High-precision Harmonic Analysis Method Based on Improved Neural Network[J].Low Voltage Apparatus,2011(8):26-30. |
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| Authors: | WAN Haona FU Zhihong HOU Xingzhe ZHANG Huaiqing WANG Yong |
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| Affiliation: | Based on Improved Neural Network WANG Haona1,FU Zhihong1,HOU Xingzhe2,ZHANG Huaiqing1,WANG Yong1(1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology,College of Electrical Engineering,Chongqing University,Chongqing 400030,China,2.Chongqing Electric Power Research Institute of Scientific and Experiments,Chongqing 401123,China) |
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| Abstract: | The high accuracy of the fundamental frequency was obtained using filter and Newton interpolation algorithm.And then harmonic was measured using the improved linear artificial neural network method.The exam-ples were shown in harmonic analysis with the method.Simulation results showed that：under the circumstances of power system frequency’s fluctuation,it still could get accurate information about the harmonic parameters,whose accuracy was far higher than the FFT algorithm and FFT algorithm with the Hanning window,which had certain val-ue in harmonic analysis of power system. |
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| Keywords: | artificial neural networks harmonic analysis power Newton interpolation |
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