首页> 外文期刊>Computers & operations research >A voltage drop limited decentralized electric power distribution network
【24h】

A voltage drop limited decentralized electric power distribution network

机译:电压降有限公司分散电力分配网络

获取原文
获取原文并翻译 | 示例

摘要

We consider a decentralized electric power distribution network design problem in rural areas with no existing infrastructure. While the source facilities can be located anywhere on the continuous space, the demand points are connected to these source facilities on a tree topology. Since excessive voltage drops cause problems with the appliances at the demand points, we employ a limitation on the voltage drop as a constraint in our distribution network design. Given the locations of demand points on a plane, we formulate a mixed-integer quadratically-constrained programming model for our design problem. Since this problem can be solved for only very small instances, we propose seven alternative heuristic methods that initially decompose the set of demand points into clusters that can be served by a single source facility. Then, for each cluster, these methods tackle the problems of locating the source facility on the continuous space and designing the voltage drop-limited minimum spanning tree to serve all demand points in the cluster by a single facility. We select the solution method based on the size of each cluster; alternative methods can be employed for different sized clusters of the same problem. We use numerical examples to demonstrate the benefits of the tree topology networks obtained by each method compared to the star topology distribution networks for the same clusters. (C) 2020 Elsevier Ltd. All rights reserved.
机译:我们认为农村地区的分散电力分布网络设计问题,没有现有基础设施。虽然源设备可以位于连续空间的任何地方,但需求点与树拓扑上的这些源设备连接。由于电压过高导致需求点的设备出现问题,因此我们采用了对电压降的限制作为我们的分发网络设计中的约束。鉴于飞机上需求点的位置,我们为我们的设计问题制定了混合整数二次约束编程模型。由于此问题可以仅为非常小的实例来解决,因此我们提出了七种替代启发式方法,其最初将该组需求点分解为可以由单个源设施提供的群集。然后,对于每个群集,这些方法解决了在连续空间上定位源设备的问题,并设计电压降限量的最小生成树,通过单个设施在群集中提供所有需求点。我们根据每个群集的大小选择解决方法;可以用于相同问题的不同大小簇的替代方法。我们使用数字示例来展示由每个方法获得的树拓扑网络的益处与同一集群的星形拓扑分布网络相比。 (c)2020 elestvier有限公司保留所有权利。

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