首页> 外文会议>International Conference on Machine Tool Technology and Mechatronics Engineering >Optimal Substation Locating and Sizing Based on Improved Weighted Voronoi Diagram and Genetic Algorithm
【24h】

Optimal Substation Locating and Sizing Based on Improved Weighted Voronoi Diagram and Genetic Algorithm

机译:基于改进加权voronoi图和遗传算法的最优变电站定位和尺寸

获取原文

摘要

Optimal planning of substation locating and sizing is one of the major components of distribution system planning projects. In this paper an approach for optimal locating, sizing and determining the power supply areas of substations using Improved Weighted Voronoi Diagram and Genetic Algorithm (WVD-GA) is presented. For rational power supply areas, variable weights and fixed weights are introduced as new concepts of weighted voronoi diagram to adjust the weights dynamically by considering substation characteristics and load density distribution. And an algorithm based on Cellular Automata (CA) for creating weighted voronoi diagram is designed, which greatly improve the performance of the creating process. The results show the efficiency and capability of the proposed method.
机译:定位和尺寸的变电站的最佳规划是分销系统规划项目的主要组成部分之一。本文在本文中,提出了一种用于使用改进的加权VORONOI图和遗传算法(WVD-GA)的变电站的最佳定位,尺寸和确定电源区域的方法。对于合理的电源区域,通过考虑变电站特性和负载密度分布,可变重量和固定重量被引入加权Voronoi图的新概念,以便动态调节重量。设计了一种基于蜂窝自动机(CA)的算法,用于创建加权Voronoi图,这大大提高了创建过程的性能。结果表明了该方法的效率和能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号