Artificial neural networks as a dispatcher's aid in alarm processing

Proceedings of the First International Forum on Applications of Neural Networks to Power Systems Pub Date : 1991-07-23 DOI:10.1109/ANN.1991.213484

R. Karunakaran, G. Karady

引用次数: 13

Abstract

The authors propose a method by which a set of artificial neural networks (ANNs) can be used as a dispatchers' aid in alarm processing. The proposed model consists of two parts-a rule based system and a set of neural networks. Depending on the input that is fed to the system, a set of rules that make up the rule based system, are used to activate one or more ANNs. Each ANN in the system is used to identify the faults in a single sub-station or a particular zone. The rule based system is also used to aid the ANNs in identifying multiple faults, by activating them in the required order and providing them with the necessary alarms as inputs.<>

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人工神经网络作为调度员在报警处理中的辅助手段

提出了一种利用一组人工神经网络(ann)辅助调度员处理报警的方法。该模型由两部分组成:基于规则的系统和一组神经网络。根据提供给系统的输入，组成基于规则的系统的一组规则被用来激活一个或多个人工神经网络。系统中的每个人工神经网络用于识别单个分站或特定区域的故障。基于规则的系统也被用来帮助人工神经网络识别多个故障，通过以所需的顺序激活它们并为它们提供必要的警报作为输入。

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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