| 基于神经网络模型的在线电压稳定裕度评估 |
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| 引用本文： | 陈爱军,刘爱国.基于神经网络模型的在线电压稳定裕度评估[J].电力科学与工程,2010,26(8):19-23. |
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| 作者姓名： | 陈爱军 刘爱国 |
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| 作者单位： | 南昌大学,电气与自动化系,江西,南昌,330031 |
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| 摘 要： | 为了在线快速评估当前电力系统稳定裕度,将回归分析和人工神经网络模型同时应用于电压稳定评估,用回归分析法来求负荷对电压稳定裕度的灵敏度,此种方法克服了传统潮流方法求取灵敏度的缺陷。为了改善神经网络模型的性能,根据预先设置好的灵敏度阀值来进行特征选择,从而减少输入变量的维数;然后设计了一个三层BP神经网络进行训练,求取电压稳定裕度,取得了很好的预测效果,最后在IEEE30节点系统上进行了验证。证明此方法的有效性。
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| 关 键 词： | 回归分析 灵敏度 特征选择 神经网络 稳定裕度 |
On-line Voltage Stability Evaluation Based on Neural Networks Model |
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| Chen Aijun,Liu Aiguo.On-line Voltage Stability Evaluation Based on Neural Networks Model[J].Power Science and Engineering,2010,26(8):19-23. |
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| Authors: | Chen Aijun Liu Aiguo |
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| Affiliation: | Chen Aijun,Liu Aiguo(Department of Electrical and Automation Engineering,Nanchang University,Nanchang 330031,China) |
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| Abstract: | In order to evaluate rapidly the voltage stability margin of power system,in this paper,a method of the regression analysis and neural network is proposed to estimate the voltage margin.The sensitivities are computed by using the regression models,which overcomes many limitations of the conventional methods of computing sensitivities.According to the sensitivities Threshold which is set in advance,the input variables is reduced largly.Three layers BP neural network was designed to calculate the voltage marg... |
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| Keywords: | regression-analysis sensitivity feature selection artificial neural networks stability margin |
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