Abstract: 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.