基于多属性决策的电力通信网共模路径优化算法研究  

Research on Common Mode Path Optimization Algorithm for Power Communication Networks Based on Multi-attribute Decision-making

作　　者：王凯 WANG Kai(State Grid Shandong Electric Power Company Yinan County Power Supply Company,Shandong Linyi 276000,China)

机构地区：[1]国网山东省电力公司沂南县供电公司,山东临沂276000

出　　处：《农村电气化》2025年第3期7-10,共4页Rural Electrification

摘　　要：本研究旨在优化电力通信网的共模路径,降低网络风险,提高路径效率。结合遗传算法和蚁群算法,构建基于共模风险的多属性联合路径优化算法(CM-MCRO)。该算法通过评估共模风险、链路距离和修改次数,设计多属性适应度函数,并进行仿真测试。仿真结果表明,CM-MCRO算法能有效降低共模风险75.41%,链路距离减少23.7%,且修改数量最少。与SRAPS和GRA算法相比,CM-MCRO在多属性联合优化方面表现更优,证明了其在电力通信网共模路径优化中的有效性和实用性。This study aims to optimize the common mode path of the power communication network,reduce network risks,and improve routing efficiency.Combining with genetic algorithm and ant colony algorithm,a common mode based multi-attribute collaborative routing optimization algorithm(CM-MCRO)based on common mode risk is constructed.The algorithm designs a multi-attribute fitness function by evaluating common mode risk,link distance and modification times,and then simulation testing is conducted.The results show that the CM-MCRO algorithm can effectively reduce common mode risk by 75.41%,reduce link distance by 23.7%,and has the least number of modifications.Compared with SRAPS and GRA algorithms,CM-MCRO performs better in multi-attribute joint optimization,proving its effectiveness and practicality in routing optimization of power communication networks.

关 键 词：多属性决策 电力通信网 共模路径优化 

分 类 号：TM645[电气工程—电力系统及自动化]