| 基于神经网络预测控制的静止无功发生器研究 |
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| 引用本文： | 梁喆,欧阳名三,朱成杰. 基于神经网络预测控制的静止无功发生器研究[J]. 煤矿机械, 2006, 27(1): 42-44 |
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| 作者姓名： | 梁喆 欧阳名三 朱成杰 |
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| 作者单位： | 安徽理工大学,安徽,淮南,232001 |
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| 摘 要： | 基于神经网络的非线性映射特性,提出了一种适用于直接电流控制的静止无功发生器检测无功和谐波电流的方法。首先建立了神经网络预测模型,最后明确了该种方法的算法。该方法具有实时、准确、能自适应跟踪电力系统负荷的变化的特点。
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| 关 键 词： | 无功补偿 静止无功发生器 神经网络 谐波检测 |
| 文章编号： | 1003-0794（2006）01-0042-03 |
| 收稿时间： | 2005-09-05 |
| 修稿时间： | 2005-09-05 |
Research on Static VAR Generator Based on Prediction Control of Neural Network |
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| LIANG Zhe,OUYANG Ming-san,ZHU Cheng-jie. Research on Static VAR Generator Based on Prediction Control of Neural Network[J]. Coal Mine Machinery, 2006, 27(1): 42-44 |
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| Authors: | LIANG Zhe OUYANG Ming-san ZHU Cheng-jie |
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| Affiliation: | Anhui University of Science and Technology, Huainan 232001, China |
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| Abstract: | Basing on the image character of nonlinearity of neural network,the article introduces a method of detecting reactive and harmonic current which is fit for SVG's control by direct current.At first the prediction model of neural network is creating and finally the algorithm of this method was establishing.The method has the feature that real-time,accurate and self-adaptable follow the change of electric system's load. |
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| Keywords: | reactive compencation static VAR generator neural network harmonic analying |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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