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Applications of forecasting based dynamic p-cycle reconfiguration under reliable optical network in smart grid

机译:可靠光网络下基于预测的动态P周期重配置在智能电网中的应用

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摘要

There is a significant motivation to increase restoration speed of electric power communication network by using mesh-based schemes, because they can always take less time to achieve network convergence. However, on the other side, it often involves large amount of extra overhead and thus consumes more controlling bandwidth. In order to design efficient survivable transport network, we propose a forecasting based p-cycle (FDP) to adapt to the rapid development of information communication technology network and the communication infrastructure of further smart grid. The proposed approach has the immediate benefit of providing natural reconfiguration under dynamic service requirement by investigating the statistical properties of power grid. Interface of GMPLS control plane and been extended for the proposed approach, and several reconfiguration approach is evaluated with the support of distributed pre-configuration scheme using GMPLS and new LSA type in OSPF-TE to realize this scheme. We also analyze the performance of decentralized control algorithm over information networks whose topology matches that of underlying power network and use analytical approach to determine whether the proposed method works well under different reconfiguration strategies. Additionally, various classical p-cycles enumeration algorithms together with distributed configuration protocol from previous work are evaluated under FDP approach and the efficiency protection resource utilization is examined.
机译:通过使用基于网格的方案,存在很大的动机来提高电力通信网络的恢复速度,因为它们总是可以花费更少的时间来实现网络融合。但是,另一方面,它通常会涉及大量的额外开销,因此会消耗更多的控制带宽。为了设计高效的可生存运输网络,我们提出了一种基于预测的p周期(FDP),以适应信息通信技术网络的快速发展以及进一步智能电网的通信基础设施。通过研究电网的统计特性,该方法的直接好处是可以在动态服务需求下提供自然的重新配置。该方法扩展了GMPLS控制平面的接口,并在使用GMPLS的分布式预配置方案和OSPF-TE中新的LSA类型的支持下对几种重新配置方法进行了评估,以实现该方案。我们还分析了分散控制算法在拓扑匹配基础电力网络的信息网络上的性能,并使用分析方法来确定所提出的方法在不同的重构策略下是否能很好地工作。此外,在FDP方法下评估了各种经典的p周期枚举算法以及先前工作中的分布式配置协议,并检查了效率保护资源的利用情况。

著录项

  • 来源
    《Computer Communications》 |2014年第1期|48-59|共12页
  • 作者单位

    School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China;

    School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China;

    School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China;

    China Electric Power Research Institute, Beijing 100085, China;

    China Electric Power Research Institute, Beijing 100085, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Dynamic p-cycle; Reconfiguration; Forecast; Smart grid; Electric power system;

    机译:动态p周期;重新配置;预测;智能电网;电力系统;

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