Study on visualization of distribution topology based on intelligent algorithms

Jiang Li, Chao Wei, Yiwei Wang, Peng Zhang, Haotong Zhang, Guoqing Li
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引用次数: 3

Abstract

In order to solve the complicated problems about visualization of distribution topology structure, this paper proposes an automatic generation method consisted of several intelligent algorithms. Both layout and wiring are two main problems during the process of visualization. The gravitation-repulsion model is applied to optimize the substation nodes layout which can make the nodes of distribution more uniform in a given area. The gravitation between them will pull them to each other when the distance between two connected nodes is below a threshold. And each node suffers repulsions which push it away from the others if their positions are too close. An empirical approach is used to wire, which effectively reduces the crossing and avoids overlapping of the lines. Results of calculation show that the method proposed in this paper is effective and practical.
基于智能算法的配电拓扑可视化研究
为了解决配电拓扑结构可视化的复杂问题,本文提出了一种由多种智能算法组成的配电拓扑结构自动生成方法。布局和布线是可视化过程中的两个主要问题。应用重力-斥力模型对变电站节点进行优化布置,使节点在给定区域内的分布更加均匀。当两个连接节点之间的距离低于某一阈值时,它们之间的引力会将它们相互拉向对方。如果位置太近,每个节点都会受到斥力的影响,使其远离其他节点。采用经验性方法进行布线,有效地减少了线的交叉,避免了线的重叠。计算结果表明,本文提出的方法是有效和实用的。
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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