A hybrid artificial neural network/artificial intelligence approach for voltage stability enhancement

Proceedings of the First International Forum on Applications of Neural Networks to Power Systems Pub Date : 1991-07-23 DOI:10.1109/ANN.1991.213514

S. Vadari, S. Venkata

引用次数: 5

Abstract

Artificial Neural Networks (ANNs) and Artificial Intelligence (AI) methodologies are beginning to play a significant role in power systems research. A combination of ANN/AI methodologies can be forged into a formidable technique using the symbolic strengths of AI to aid the massively parallel and distributed processing models utilized by ANNs. The authors attempt to bring a philosophical perspective to this hybrid approach and examine it from different angles. Voltage stability enhancement is used as an example area and the ideas are being tested on it. The main objective is to promote discussion amongst the researchers and to investigate how this method can be used effectively.<>

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一种增强电压稳定性的混合人工神经网络/人工智能方法

人工神经网络(ANNs)和人工智能(AI)方法开始在电力系统研究中发挥重要作用。人工神经网络/人工智能方法的结合可以形成一种强大的技术，利用人工智能的符号优势来帮助人工神经网络使用的大规模并行和分布式处理模型。作者试图从哲学的角度来看待这种混合方法，并从不同的角度来审视它。以提高电压稳定性为例，进行了实验研究。主要目的是促进研究人员之间的讨论，并研究如何有效地使用这种方法。

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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Proceedings of the First International Forum on Applications of Neural Networks to Power Systems

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