A general model of power system frequency response based on parameter identification

With the increasing integration of renewable energy power generation, abnormal operation such as DC blocking fault and generator tripping has led to many accidents with large frequency deviation. However, the existing frequency dynamic analysis model is difficult to quickly, accurately and flexibly reflect the dynamic frequency of the power grid after disturbance, and it is very important to evaluate the transient frequency stability margin of the system to ensure the safe and stable operation of the system. Therefore, this paper proposes a general system frequency response (SFR) model that can be used to estimate the dynamic frequency behavior of modern large-scale power systems with new energy sources. Firstly, the limitations of the classical SFR model are analyzed. Secondly, a general SFR model with more reasonable structure is proposed, and a parameter determination strategy is proposed by using dynamic data. Then, the general SFR model is constructed, and the accuracy and practicability of the proposed general SFR model and parameter identification method are verified by the simulation of IEEE 10 machines and 39 buses system with renewable energy.