The occurrence of Sub-synchronous oscillation (SSO) in power systems is becoming increasingly frequent

significantly threatening the stability of the grid. Therefore

it is important to achieve rapid and accurate tracing of SSO source. However

SSO occurs at higher frequencies compared to low-frequency oscillations

requiring higher-frequency sampling data to ensure accuracy of the analysis. This requirement significantly increases the computational burden. Therefore

traditional centralized computing methods face significant challenges in real-time computation and communication. To fill this gap

a distributed collaborative method for the forced SSO source tracing is proposed in this paper. A hierarchical distributed system framework is constructed to trace the forced SSO source in power systems. It defines the roles and responsibilities of SSO measurement terminals

local layer substations(LLS)

and central layer main stations. Then

an adaptive cooperation mechanism among local layer substations is developed

where measurement data are collected and processed locally. Based on an average consensus algorithm to exchange a small amount of energy information

the fast collaborative tracing of SSO source is achieved. The distributed collaborative method greatly reduces the data transmission and computational pressure on control centers/main stations

providing algorithmic support for fast and accurate tracing of SSO source.