A New Algorithm for Distribution Network Planning

Xianbo Ke, Weixin Gao
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引用次数: 2

Abstract

This paper presents a new algorithm, which is based on Hopfield neural network, to plan distribution power network. The algorithm changes distribution network planning problem into a directed graph-planning problem. The Hopfield neural network is not designed to decide which alternative line should be selected, but to decide the in-degree of each node, so the calculation result is a radical directed graph. By this way, the distribution network is determined simultaneously. The energy function and algorithm for planning the distribution network are also given. An example shows the proposed Hopfield neural network can successfully plan distribution power network.
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配电网规划的新算法
本文提出了一种基于Hopfield神经网络的配电网规划新算法。该算法将配电网规划问题转化为一个有向图规划问题。Hopfield神经网络的设计不是决定选择哪条备选线,而是决定每个节点的in度,因此计算结果是一个径向有向图。通过这种方法,同时确定了配电网。给出了配电网规划的能量函数和算法。算例表明,所提出的Hopfield神经网络能够成功地规划配电网。
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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