The load characteristics of power system have a profound impact on the safe and stable operation of power system. Accurate load modeling is the core link of power system stability analysis and control. With the wide access of new loads such as electric vehicles

variable frequency air conditioners

and energy storage equipment

the traditional load modeling methods face problems such as poor adaptability

lack of accuracy

and lack of tracking ability. In order to adapt to the load differentiation characteristics of the new power system

a generalized load modeling method with multi-scenario adaptability is proposed in this paper. In the aspect of load model construction

combined the advantages of exponential recovery model and state space model in dynamic feature representation and feature generalization

a multi-scenario generalized load model of power system is proposed

which can accurately simulate the complex dynamic characteristics of load

especially in large disturbance environment. In the aspect of load model identification

the criteria for dynamic and static mode switching of load are designed to effectively distinguish the dynamic and static operation modes of load

and the recursive least squares method is used for real-time identification of model parameters

which effectively improves the accuracy of model parameter identification results

and enhances the dynamic tracking ability of load model for system failure

load switching and other scenarios. Finally

the Cramér-Rao lower bound is used to verify the load model parameters to ensure the theoretical consistency and effectiveness of the identification results.