Abstract：As the new power system evolves towards a high proportion of renewable energy access and

multiple interactions，edge computing，as the core technology to support the intelligent upgrade of power system，is facing severe challenges of large-scale equipment access and complexity of power business. Aiming at the problem that the traditional static resource allocation model is difficult to adapt to the dynamic and heterogeneous characteristics of power services， the elastic effect of cache resources on the execution of power services was taken as the entry point，and a cache resource allocation method was proposed considering the characteristics of power services. Aiming at the optimization of service delay and resource utilization，the influence mechanism of power service characteristics on resource allocation was analyzed systematically，a constraint condition system driven by service characteristics was constructed，and the resource allocation problem was solved based on weight analysis method. By establishing and comparing the resource and business evaluation indicators under different configuration schemes，the feasibility and superiority of the proposed method were fully proved.

      Key words：edge computing；power service characteristics；elastic demand；cache configuration