| 复合神经网络在电力系统暂态稳定评估中的应用 |
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| 引用本文： | 汤必强,邓长虹,刘丽芳. 复合神经网络在电力系统暂态稳定评估中的应用[J]. 电网技术, 2004, 28(15): 62-66 |
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| 作者姓名： | 汤必强 邓长虹 刘丽芳 |
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| 作者单位： | 武汉大学电气工程学院,湖北省,武汉市,430072;武汉大学电气工程学院,湖北省,武汉市,430072;武汉大学电气工程学院,湖北省,武汉市,430072 |
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| 摘 要： | 提出了一种基于复合人工神经网络的电力系统暂态稳定评估方法。该复合网络由Kohonen网络与若干径向基(RBF)网络组成。它结合了两种网络的优点，因此提高了稳定评估能力。分别采用Kohonen网络、径向基网络以及该复合网络对华中电网的仿真结果证实了该方法的优越性。
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| 关 键 词： | 人工神经网络 暂态稳定评估 电力系统 |
| 文章编号： | 1000-3673(2004)15-0062-05 |
| 修稿时间： | 2003-08-25 |
APPLICATION OF COMPOUND NEURAL NETWORK IN POWER SYSTEM TRANSIENT STABILITY ASSESSMENT |
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| TANG Bi-qiang,DENG Chang-hong,LIU Li-fang. APPLICATION OF COMPOUND NEURAL NETWORK IN POWER SYSTEM TRANSIENT STABILITY ASSESSMENT[J]. Power System Technology, 2004, 28(15): 62-66 |
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| Authors: | TANG Bi-qiang DENG Chang-hong LIU Li-fang |
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| Abstract: | A power system transient stability assessment method based on compound artificial neural network (ANN) is put forward. This compound ANN consists of Kohonen network and some radial basic function (RBF) networks and their advantages are integrated, so the ability of stability assessment is improved. The results of the simulations of Central Power Grid by Kohonen network, RBF network and compound ANN respectively show that the proposed method is a superior one. |
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| Keywords: | Artificial neural network Transient stability assessment Power system |
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