| 基于神经网络的电力系统状态估计 |
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| 引用本文： | 韩富春,王娟娟. 基于神经网络的电力系统状态估计[J]. 电力系统及其自动化学报, 2002, 14(6): 49-51,59 |
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| 作者姓名： | 韩富春 王娟娟 |
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| 作者单位： | 太原理工大学电气与动力工程学院,太原,030024 |
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| 摘 要： | 本文以Tank和Hopfield神经网络为基础，建立了一种由主从网络构成的电力系统状态估计神经网络模型。理论分析和实例模拟结果表明：该网络是稳定的，该方法是可行有效的。
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| 关 键 词： | 神经网络 电力系统 状态估计 |
STATE ESTIMATION IN POWER SYSTEM BASED ON NEURAL NETWOR |
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| Abstract. STATE ESTIMATION IN POWER SYSTEM BASED ON NEURAL NETWOR[J]. Proceedings of the CSU-EPSA, 2002, 14(6): 49-51,59 |
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| Authors: | Abstract |
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| Abstract: | This paper applies a neural network model based on Tank and Hopfield network to state estimation in power system. This model is comprised of a main network and a subsidiary network. Theoretical analysis and simulations prove that this networks is stable, and this method is validated. |
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| Keywords: | state estimation power system neural network |
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