Generalized Synthetic Load Modeling and Parameter Identification

In order to adapt to the change of load structure caused by the wide application of power electronic equipment in power system, this paper proposes a generalized synthetical load model(GSLM) including photovoltaic(PV) power generation system(PVPGS) and variable frequency motor, and carries on the parameter identification of the load model. Taking the data collected by the motor access point(MAP), the PV access point(PVAP) and the generalized synthetical load access point(GSLAP) as input, the parameters of the GSLM are identified by the grey Wolf algorithm, and the fitting of the power curve of the model and the actual power curve is obtained. The simulation model was built in Matlab/Simulink to test the adaptive ability of the GSLM under different voltage sag faults. The simulation results show that the generalized load model established in this paper is reasonable, and the gray Wolf algorithm can effectively identify parameters.