构网型储能控制黑盒的虚拟电路闭环辨识模型及方法OA

Grid-forming(GFM)converter-based energy storage has the ability to provide frequency and voltage support,which can improve the stability of high-proportion renewable energy power systems.However,due to the secrecy of the technology,the white-box model that depicts the dynamics of GFM converter-based energy storage cannot be directly obtained,which makes it difficult to accurately analyze its response characteristics.Therefore,a closed-loop model is proposed for parameter identification of GFM converter-based energy storage control black box to improve the flexibility of identification scene construction and the accuracy of parameter solving.Firstly,given the lack of adaptability of the existing identification methods to the change of power grid operation state,the source-network interaction characteristics of the converter and the power grid are abstracted into virtual circuits,and the closed-loop model is constructed from the physical essence of power transmission.Secondly,in view of the increase of complexity and the decrease of accuracy caused by the coupling of multiple series control links,a parameter identification method based on virtual steady state operation points was proposed to realize the decoupling of control parameters in different loops.Finally,the effectiveness of the closed-loop model for parameter identification is verified by simulation,and the results show that there is a decoupling condition for the coupling parameters at the virtual steady-state operation point,and the proposed method can significantly reduce the complexity of parameter solving and improve the identification accuracy.