Application of neural networks to automatic load frequency control

Application of neural networks to automatic load frequency control
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DOI：
10.1007/978-3-319-03756-1_39
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发表时间：
2014-11
期刊：
Proceedings of The 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC)
影响因子：
--
通讯作者：
S. Nag;N. Philip
S. Nag;N. Philip
中科院分区：
其他
文献类型：
--
作者：
S. Nag;N. Philip

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本文旨在介绍人工神经网络应用于自动负荷频率控制的好处。电力系统模型已被模拟和传统的PI控制器已被取代的人工神经网络控制器，其中，我们已经训练的神经控制器作为PI控制器。该策略已成功地测试了单区域以及多区域系统使用MATLAB/SIMULINK。在神经控制器的帮助下，我们已经能够实现更小的瞬态下降以及更快的频率稳定。
This paper is intended to present the benefits of the application of artificial neural network to automatic load frequency control. The power system model has been simulated and the conventional PI controller has been replaced by the artificial neural network controller wherein, we have trained the neural controller to behave as a PI controller. The strategy has been successfully tested for both a single area as well as multi area systems using MATLAB/SIMULINK. With the help of a neural controller we have been able to achieve a smaller transient dip as well as faster stabilization of frequency.