基于改进蚁群算法的电力通信网络路由优化算法研究  

Research on routing optimization algorithm of power communication network based on improved ant colony algorithm

作　　者：方洪波 吴林峰 周豪睿 Fang Hongbo;Wu Linfeng;Zhou Haorui(Zhejiang Anke Network Technology Co.,Ltd.,Hangzhou 310012,China;Zhejiang Zheneng Technology Research Institute Co.,Ltd.,Hangzhou 311121,China)

机构地区：[1]浙江安科网络技术有限公司,杭州310012 [2]浙江浙能技术研究院有限公司,杭州311121

出　　处：《电测与仪表》2023年第5期97-102,共6页Electrical Measurement & Instrumentation

基　　金：国家重大科研仪器研制项目(51827810)

摘　　要：在电力通信网络中,负载均衡可以减少瓶颈节点的过载和充分利用资源。针对智能电网中电力通信网络负载均衡问题,文中提出了一种将蚁群算法与链路权值算法相结合的负载均衡算法。在发挥蚁群算法优势的基础上,通过链路权重判断功能直接选择最优传输链路方案。通过仿真将所提算法与常用负载均衡算法进行比较,验证了所提算法的优越性和可行性。结果表明,该方法更适合于复杂的应用场景,在电力通信网络中具有更好的负载均衡能力,具有一定的参考价值。In power communication networks,load balancing can reduce the overload of bottleneck nodes and make full use of resources.Aiming at the load balancing problem of power communication network in smart grid,this paper proposes a load balancing algorithm that combines ant colony algorithm and link weight algorithm.Based on the advantages of the ant colony algorithm,the optimal transmission link scheme is directly selected through the link weight judgment function.Through simulation,the proposed algorithm is compared with the commonly used load balancing algorithm,and the superiority and feasibility of the proposed algorithm are verified.The results show that this method is more suitable for complex application scenarios,and has better load balancing ability in power communication network,which has certain reference value.

关 键 词：智能电网 通信网络 负载均衡 蚁群算法 链路权值算法 

分 类 号：TM734[电气工程—电力系统及自动化]