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一种面向负载均衡的电力OTN路由优化算法

连亦承 喻鹏 亓峰 张庚 张强 孙严智

广东电力2018,Vol.31Issue(5):42-48,7.
广东电力2018,Vol.31Issue(5):42-48,7.DOI:10.3969/j.issn.1007-290X.2018.005.007

一种面向负载均衡的电力OTN路由优化算法

A Load balance Oriented Optimization Algorithm for Electric Power OTN Route

连亦承 1喻鹏 1亓峰 1张庚 2张强 3孙严智4

作者信息

  • 1. 北京邮电大学,北京 100876
  • 2. 中国电力科学研究院,北京 100192
  • 3. 北京智芯微电子科技有限公司,北京100000
  • 4. 云南电网有限责任公司,云南 昆明650011
  • 折叠

摘要

Abstract

Optical transmission network (OTN)business planning focuses on the shortest path while doesn't consider global load balance,which may cause high partial pressure and increase operational risk of the network. Therefore,this paper ana-lyzes common objectives and constraints of current business route optimization algorithms,by combining with peculiar fea-tures of optical signal noise ratio (OSNR)of OTN network,it presents a kind of optimization algorithm for business route with the purpose of load balance that comprehensively considering traditional constraints of electric power OTN network such as optical transmission constraint and hops. This algorithm firstly comprehensively considers link load,OSNR and route hops,and builds the optimization model for business route optimization aiming at network load balance and regarding OS-NR,optical power and hop as constraints. Secondly,the algorithm analyzes characteristic of the optimization model and chooses the ant colony algorithm for route optimization. Finally,according to current network data of one southwest provin-cial electric power company,it verifies compared with other traditional route optimization algorithms,this mechanism can keep network load balance at the same time of ensuring OSNR and business hops.

关键词

电力通信网/光传送网/光信噪比/负载均衡/业务路由优化/蚁群算法

Key words

electric power communication network/optical transmission network/optical signal noise ratio/load balance/business route optimization/ant colony algorithm

分类

信息技术与安全科学

引用本文复制引用

连亦承,喻鹏,亓峰,张庚,张强,孙严智..一种面向负载均衡的电力OTN路由优化算法[J].广东电力,2018,31(5):42-48,7.

基金项目

云南电网有限责任公司科技项目(YNKJXM00000150) (YNKJXM00000150)

广东电力

OACSTPCD

1007-290X

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