A battery energy storage power supply model for power grid frequency regulation is studied. First

the output characteristics of battery energy storage power are obtained by analyzing the amplitude and charge-discharge frequency characteristics in frequency regulation conditions. Then the process of constructing an electro-magnetic transient (EMT) model of battery energy storage power is presented

based on which a digital simulation model adapted to the needs of frequency regulation research and its parameter identification method are proposed. Finally

based on the multiple sets of experimental data of LiFePO4 batteries

the parameters of the simulation model are identified using an improved genetic algorithm and verified in frequency regulation scenarios. The validation results show that the simulation data of the model fit the actual operating data of the energy storage power with an error less than 1%

and the proposed simulation model has a rational structure that is able to meet the simulation requirements of primary and secondary frequency regulation as well as other applications on a second-minute timescale. This work is supported by National Basic Research Program of China (973 Program) (No. 2012CB215106) and National Natural Science Foundation of China (No. 51477043).