自组织竞争人工神经网络在配电网中的应用

Xue Wei
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引用次数: 0

摘要

配电网的可靠性指标实际反映了整个系统的结构和运行特点。当需要评估的配电网类型较多时,反复计算可靠性指标是非常困难和浪费的。在这种情况下,定义简单的指标来确定配电网的可靠性是非常有用的,避免了指标计算的繁琐。本文建立了一种自组织竞争神经网络分类器来估计配电网的负荷可靠性,重新定义指标,结合配电网的可靠性和拓扑结构,反映负荷故障率。这有助于提高网络可靠性分析的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of the self-organizing competition artificial neural network in distribution networks
The reliability indices of distribution network are practically to reflect the structures and operate characteristics of the whole system. If there are many types of distribution networks need to be assessed, it is very difficult and waste to compute reliability indices repeatedly. In this case, it is very useful to define simple indices to determine distribution network reliability, and avoid terrible computation of indices. In this paper, a self-organizing competition ANN classifier was built to estimate load reliability of distribution network, with redefining indices, which combined reliability and topological structure of distribution network, and reflected the load failure rate. It was helpful to improve the efficiency of network reliability analysis.
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