电力通信光网络业务分配算法研究
本文选题:电力通信网 + 业务分配算法 ; 参考:《华北电力大学(北京)》2017年硕士论文
【摘要】:电力通信网承载着电力系统调度、管理、网络状态及用户数据等信息业务,是电力系统的重要组成部分。随着IP业务的爆发式增长,电力通信网采用的主流通信技术正在由IPoverSDH向IPoverWDM演进。由于WDM技术在一根光纤段内复用多个波长信道来实现大容量的信息传输,如何分配网络中的路由和波长资源成为关乎网络资源配置高效性的重要问题之一。本文基于电力通信光网络规划方法的研究现状,重点研究了电力通信光传送网的业务分配问题。总结了光传送网络中路由波长分配方法的分类,分述了常用路由波长分配算法。在传统蚁群算法框架的基础上,引入业务信息素的概念,提出了基于波长变换网络和波长不可变换网络的蚁群优化算法,能够提高网络负载均衡性,适应电力通信网络规划的实际需求,提出了基于蚁群算法的极长路径处理策略、业务保护和恢复策略。依托国家电网公司科技项目《适应智能电网发展的通信网技术架构及发展路线研究》,在全球能源互联网研究院信息通信研究所与JS省电力公司的合作与支持下,以JS省电力骨干光传送网络为仿真对象,根据《电力通信网规划设计技术导则》、《“十三·五”期间各类变电站和办公场所典型带宽预测模型》的方法与要求,对该网络进行业务建模与算法仿真,分析了网络资源配置有效性、网络交换压力、业务发展适应性和抗毁性等方面的性能,并就该电力骨干光传送网络传输层的规划建设提出了合理化建议。
[Abstract]:Power communication network is an important part of power system because it carries information services such as power system dispatching, management, network status and user data. With the explosive growth of IP services, the mainstream communication technology used in power communication network is evolving from IPoverSDH to IPoverWDM. Because WDM technology multiplexes multiple wavelength channels in a single optical fiber segment to achieve large capacity information transmission, how to allocate routing and wavelength resources in the network becomes one of the important issues related to the efficiency of network resource allocation. Based on the current situation of power communication optical network planning, this paper focuses on the problem of traffic allocation in power communication optical transport network. This paper summarizes the classification of routing wavelength assignment methods in optical transport networks, and describes common routing wavelength assignment algorithms. Based on the traditional ant colony algorithm framework, the concept of traffic pheromone is introduced, and an ant colony optimization algorithm based on wavelength conversion network and wavelength unconverted network is proposed, which can improve the load balance of the network. To meet the practical requirements of power communication network planning, an ant colony algorithm based extremely long path processing strategy, service protection and recovery strategy is proposed. Relying on the State Grid Company's Science and Technology Project "Research on the Technical Architecture and Development Route of Communication Network adapted to the Development of Smart Grid", and with the cooperation and support of the Information and Communication Institute of the Global Energy Internet Research Institute and JS Provincial Power Company, Taking the JS provincial power backbone optical transmission network as the simulation object, according to the Technical guidelines for the Planning and Design of the Electric Power Communication Network and the typical bandwidth Prediction Model for various substations and offices during the Thirteenth Five-Year Plan period, the methods and requirements are presented. The traffic modeling and algorithm simulation of the network are carried out, and the performance of the network resource allocation efficiency, network switching pressure, service development adaptability and survivability are analyzed. Some reasonable suggestions are put forward for the planning and construction of the transmission layer of the power backbone optical transport network.
【学位授予单位】:华北电力大学(北京)
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN929.1;TM73
【参考文献】
相关期刊论文 前10条
1 周静;胡紫巍;刘国军;卢利锋;孙媛媛;;电力骨干通信网业务需求分析与拓扑规划[J];光通信研究;2016年02期
2 曾庆涛;张国翊;郭少勇;邱雪松;孟洛明;;面向可用性的电力通信业务通道路由选择算法[J];北京邮电大学学报;2015年S1期
3 魏星;李志远;陈艳;;基于蚁群和鱼群的混合优化光网络动态RWA算法[J];光通信技术;2015年03期
4 徐涛;丁晓璐;李建伏;;K最短路径算法综述[J];计算机工程与设计;2013年11期
5 巩敦卫;曾现峰;张勇;;基于改进模拟退火算法的机器人全局路径规划[J];系统仿真学报;2013年03期
6 周静;陈希;;电力通信网规划仿真技术研究及其典型应用[J];电力系统通信;2012年12期
7 周静;熊素琴;苏斌;卢利峰;陈希;;一种电力通信网络运行质量量化评估方法及应用[J];电网技术;2012年09期
8 周静;吕天光;陈希;殷树刚;;省级电力调度数据网带宽分析与容量规划研究[J];电网技术;2012年05期
9 赵子岩;刘建明;;基于业务风险均衡度的电力通信网可靠性评估算法[J];电网技术;2011年10期
10 金广祥;张大伟;李伯中;;国家电网公司“十二五”骨干传输网的发展[J];电力系统通信;2011年05期
相关博士学位论文 前1条
1 郭秉礼;智能光网络中的管控技术与资源优化问题研究[D];北京邮电大学;2011年
相关硕士学位论文 前3条
1 梁文婷;基于大容量OTN的MILP智能网络映射算法研究[D];北京邮电大学;2015年
2 李玉萍;KSP路由算法的ASON网络应用与仿真实现[D];北京邮电大学;2010年
3 付明磊;波长路由光网络中的路由和波长分配算法研究[D];浙江工业大学;2007年
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