| 一种基于人工神经网络的谐波测量新方法 |
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| 引用本文： | 张林利,王广柱.一种基于人工神经网络的谐波测量新方法[J].电力系统及其自动化学报,2004,16(2):40-43. |
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| 作者姓名： | 张林利 王广柱 |
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| 作者单位： | 山东大学电气工程学院,济南,250061;山东大学电气工程学院,济南,250061 |
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| 摘 要： | 提出了一种基于人工神经网络(ANN)的电力系统谐波测量新方法.该方法应用一个多层前馈神经网络(MLFNN),对当前采样时刻和上一采样时刻的三相电流采样值进行分析计算,得出三相电流的谐波分量.阐述了该神经网络的构造和用于网络训练的学习算法.将该网络应用于整流电路的谐波测量,进行了仿真研究.仿真结果表明该方法能够实时而准确地检测出谐波分量.通过与基于瞬时无功功率理论的谐波测量方法比较,进一步证实了该方法具有延时小而精度高的优点.
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| 关 键 词： | 人工神经网络 谐波 测量 |
| 文章编号： | 1003-8930(2004)02-0040-04 |
| 修稿时间： | 2003年5月21日 |
New Artificial Neural Network Approach for Measuring Harmonics |
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| ZHANG Lin-li,WANG Guang-zhu.New Artificial Neural Network Approach for Measuring Harmonics[J].Proceedings of the CSU-EPSA,2004,16(2):40-43. |
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| Authors: | ZHANG Lin-li WANG Guang-zhu |
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| Abstract: | A new approach based on artificial neural network (ANN) for measuring power harmonics is proposed.It analyses and calculates the three-phase current of current sample time and of the last by a multi-layer feedforward neural network(MLFNN),then the harmonic components of the three-phase current are got.The structure of this neural network and the learning algorithm for training it are presented.The simulation studies are carried out by using this neural network into harmonic measuring of rectifier.The simulation results show that the harmonic components can be detected at real time with high precision.It is validated further that this approach is more precise with shorter delay compared with that based on instantaneous reactive power theory. |
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| Keywords: | artificial neural network harmonic measurement |
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