| 一种基于人工神经网络的电力谐波测量方法 |
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| 引用本文： | 王 群,王兆安;吴 宁.一种基于人工神经网络的电力谐波测量方法[J].电力系统自动化,1998,22(11):35-39. |
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| 作者姓名： | 王 群 王兆安;吴 宁 |
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| 作者单位： | 西安交通大学电气学院，710049，西安；重庆大学电气系，400044，重庆 |
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| 基金项目： | 国家自然科学基金!59477021 |
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| 摘 要： | 提出了一种新颖的电力谐波测量方法，它用一个多层前馈神经网络替代模拟并行式谐波测量装置中的带通滤 波器，使各次谐波都可以用这个训练过的神经网络测量出来。阐述了该神经网络训练样本的组成和训练方 法。对一含有谐波的畸变电流的仿真结果说明了这种测量方法的有效性。
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| 关 键 词： | 人工神经网络，电力谐波，测量 |
| 收稿时间： | 1/1/1900 12:00:00 AM |
| 修稿时间： | 1/1/1900 12:00:00 AM |
A MEASURING APPROACH OF POWER HARMONICS BASED ON ARTIFICIAL NEURAL NETWORK |
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| Wang Qun.A MEASURING APPROACH OF POWER HARMONICS BASED ON ARTIFICIAL NEURAL NETWORK[J].Automation of Electric Power Systems,1998,22(11):35-39. |
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| Authors: | Wang Qun |
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| Affiliation: | Wang Qun (Xi'an Jiaotong University. 710049. Xi'an. China)Wu Ning (Chongqing University. 400044. Chongqing. China)Wang Zhaoan (Xi'an Jiaotong University. 710049. Xi'an. China) |
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| Abstract: | A novel approach based on artificial neural network for measuring power harmonics is proposed in this paper. The band-pass filters in the analog parallel harmonic measuring device are replaced by a multilayer feedforward neural network.thus each harmonic can be measured by the trained neural network. The composition and training method of training samples in the neural network are presented. The simulation results of distorted currents with harmonics illustrate the validity of the proposed harmonics measuring approach. |
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| Keywords: | artificial neural network power harmonic measurement |
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