电力系统拓扑确定的神经网络

A. P. Alves da Silva, V. Quintana, G. Pang
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引用次数: 8

摘要

作者描述了一个并行分布式拓扑分类器。其理念是以非常快速的方式确定系统配置,即使存在不正确或不可用的开关/断路器状态和模拟测量。介绍了一种新的适用于超大训练集的监督学习算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural networks for topology determination of power systems
The authors describe a parallel distributed topology classifier. The idea is to determine the system configuration in a very fast way, even in the presence of incorrect or unavailable switch/breaker status and analog measurements. A new supervised learning algorithm suitable for very large training sets is introduced.<>
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