通信学报 ›› 2016, Vol. 37 ›› Issue (1): 116-122.doi: 10.11959/j.issn.1000-436x.2016013

• 学术论文 • 上一篇    下一篇

基于改进遗传算法的电力光传输网规划方法

石悦,邱雪松,郭少勇,亓峰   

  1. 北京邮电大学网络与交换技术国家重点实验室,北京 100876
  • 出版日期:2016-01-25 发布日期:2016-01-27
  • 基金资助:
    电力通信管理系统智能化提升与扩展技术研究及应用基金资助项目

Optimal planning of optical transmission network using improved genetic algorithm

Yue SHI,song QIUXue,yong GUOShao,Feng QI   

  1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Online:2016-01-25 Published:2016-01-27
  • Supported by:
    Research and Application of Management System Intellectualization and Extension Technology in Electric Power Communication Foundation

摘要:

为保证建成的电力通信网络满足智能电网坚强可靠、经济高效的需求,提出一种兼顾网络建设成本和网络可靠性的电力光传输网线路规划方法,设计出基于站点成环率和电压等级的可靠性函数,建立了线路规划问题的多目标优化模型,在此基础上,用改进的遗传算法对问题进行求解,仿真结果表明,提出的规划方法能够提供有效的线路规划方案,具备较优的算法性能。

关键词: 智能电网, 光传输网, 网络规划, 遗传算法, 可靠性

Abstract:

To ensure that power communication network to meet the reliable, economic requirements, a network planning method was proposed. Developing a reliability function based on ring rate and voltage class of communication station, then a multi-target programming model was established. An approach based on improved genetic algorithm was devel-oped to solve the problem. Finally, simulation results show that the proposed method can provide efficient network plan-ning solution with high performance.

Key words: smart grid, optical transmission network, network planning, genetic algorithm, reliability

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