利用人工神经网络增强AGC性能

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI:10.1109/IC3I.2016.7918007

P. K. A. Kumar, R. Uthirasamy, G. Saravanan, A. Ibrahim

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引用次数: 3

摘要

本文提出了将人工神经网络控制器应用于三区域系统的AGC性能改善问题。为了减小区域控制误差(ACE)，稳定频率振荡和电压偏差，最初采用了传统的PI控制器。人工神经网络的应用是调整PI的增益值。本文采用多层前馈技术进行仿真。将人工神经网络控制器对AGC的性能增强效果与PI进行了比较。从类比的角度来看，人工神经网络控制器得到的结果似乎优于PI的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AGC performance enhancement using ANN

Application of ANN Controller towards the improvement of AGC performance issue in three area system is proposed in this article. To minimize the Area Control Error (ACE) and stabilize the frequency oscillations along with tie line power deviations with conventional PI controller is used initially. The application of ANN is to tune PI gain values. Here multilayer feed forward technique is intended to simulation purpose. The performance enhancement of AGC using of ANN controller results were compared with the PI. From the analogy point the results gained from ANN controller seems to be better than performance of PI.

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2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)

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