基于蚁群优化的通信网络负荷信息分散协调调度  

Decentralized Coordination Scheduling of Communication Network Load Information Based on Ant Colony Optimization

作　　者：董金良 刘小伟 李海江 DONG Jinliang;LIU Xiaowei;LI Haijiang(Xinjiang Hami Pumped Storage Co.Ltd.,Hami 839000,China)

机构地区：[1]新疆哈密抽水蓄能有限公司,新疆维吾尔自治区哈密市839000

出　　处：《水电与抽水蓄能》2021年第3期68-71,共4页Hydropower and Pumped Storage

摘　　要：采用当前方法对变电站通信网络中负荷信息进行分散协调调度时,调度后系统运行的时间较长,且变电站通信网络中个别链路被利用的概率较低,导致网络链路利用率低。为此,提出基于蚁群优化的通信网络负荷信息分散协调调度方法。将最大化网络链路利用率作为优化目标,构建负荷信息分散协调调度模型,采用蚁群优化算法对负荷信息分散协调调度模型进行求解,获得负荷信息分散协调调度模型的最优解,在变电站通信网络中实现负荷信息的分散协调调度。实验结果表明,所提方法的系统运行效率高、网络链路利用率高。When the current method is used to distribute and coordinate the load information in the substation communication network,the system runs for a long time after dispatching,and the probability of individual links being used in the substation communication network is low,which leads to the problem of low network link utilization.An ant colony optimization(ACO)based decentralized coordination scheduling method for communication network load information is proposed.Taking the maximization of network link utilization as the optimization objective,the decentralized coordinated dispatch model of load information is constructed.The ant colony optimization algorithm is used to solve the decentralized coordinated dispatch model of load information,and the optimal solution of the decentralized coordinated dispatch model of load information is obtained.The decentralized coordinated dispatch of load information is realized in the substation communication network.Experimental results show that the proposed method has high system efficiency and high network link utilization.

关 键 词：蚁群优化算法 变电站通信网络 负荷信息 调度方法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]