The large-scale integration of massive heterogeneous distributed new energy has brought great challenges to the safe and stable operation of power system. It is of great significance to carry out research on operational risk assessment considering the uncertainty of distributed new energy. Firstly

the key influencing factors of the dynamic response characteristics of the distributed new energy equivalent model are analyzed

and the online dynamic equivalent modeling method of distributed new energy is proposed to determine the comprehensive load model and the state of distributed new energy that meet the requirements of online risk assessment. Then

according to the output characteristics of distributed new energy and multiple types of security and stability impact factors

clusters are divided

and the number of deterministic scenarios participating in safety and stability analysis is reduced by reducing the dimensionality of uncertainty variables. On this basis

the control measures and risk indicators that meet the requirements of safe and stable operation are calculated for different confidence intervals

and the different consequences of high probability low loss and low probability high loss scenarios on the power system are quantitatively evaluated. Finally

the application case results of actual power grid show that the risk assessment method proposed in this paper not only improves the risk assessment accuracy and calculation efficiency of the power grid with distributed new energy

but also can more comprehensively reflect the real-time operation risk characteristics of the system.