【作者】 赵文；

【导师】 仲志成； 赵刚；

【作者基本信息】 吉林大学 ， 电气工程（专业学位）， 2018， 硕士

【摘要】 随着社会的进步、科技的提升,电力行业在IP通信方面的业务呈现出种类繁多、变化性大、业务兼容性需求高的特点。过去电力网络通信方式以SDH光通信为主,此种光通信方式会造成带宽过度冗余、资源无法得到充分利用的问题,且还有网络资源配置滞后、操作程序复杂的缺点。为满足今后智能电网的发展需求,人们在IP通信技术、波分复用技术、通用多协议标志交换技术的基础上,提出智能光网络的概念。通过引入了控制平面,使控制平面与原有技术有效的结合来实现对网络中信令、路由和链路的管理。以此,大大提高电力通信网络的生存性,使未来的电力网络运行得更加的智能、高效。论文首先在概述智能光网络的结构模型、优势特点的基础上,分析了光网络的生存性特点,针对光网络存在的生存性问题,提出一种优化光网络保护及恢复功能的路由择优算法。此算法延续了传统最短路径算法思想的同时考虑到带宽、时间延迟等方面的限制条件,在蚁群算法和鱼群算法的基础上进行优化。随后,对融合算法进行了过程理论推导。最后着重对蚁群算法、鱼群算法、改进算法在执行保护及恢复过程中的路由择优功能进行仿真比较分析。结果表明结合智能光网络的技术特点,使用改进后的算法在寻找网络最优路由时具有更佳的性能。更多还原

【Abstract】 With the progress of society and the improvement of science and technology,the business of power industry in IP communication presents the characteristics of various types,great variability and high demand for business compatibility.In the past,SDH optical communication was the main mode of power network communication.This mode of optical communication would cause excessive redundancy of bandwidth and inadequate utilization of resources.Moreover,it also has the shortcomings of lagging network resource allocation and complex operation procedures.In order to meet the development needs of smart grid in the future,people put forward the concept of intelligent optical network on the basis of IP communication technology,wavelength division multiplexing technology and general multi-protocol label switching technology.By introducing the control plane,the control plane is effectively combined with the existing technology to realize the management of signaling,routing and links in the network.In this way,the survivability of power communication network will be greatly improved,and the future power network will be operated more intelligently and efficiently.Firstly,on the basis of overview of the structure model and advantages of intelligent optical network,this paper analyses the survivability characteristics of optical network.Aiming at the survivability problems of optical network,a routing optimization algorithm is proposed to optimize the protection and recovery functions of optical network.This algorithm is based on ant colony algorithm and fish swarm algorithm,which is a continuation of the traditional shortest path algorithm and takes into account the limitations of bandwidth and time delay.Subsequently,the improved algorithm is theoretically deduced.Finally,the paper focuses on the simulation and comparison of ant colony algorithm,fish swarm algorithm and improved algorithm in the process of protection and recovery.The results show that the improved algorithm has better performance in finding the optimal routing of the intelligent optical network,considering the technical characteristics of the intelligent optical network.更多还原