This paper presents a data-driven virtual inertia control method for doubly fed induction generator (DFIG)-based wind turbine to provide inertia support in the presence of frequency events. The Markov parameters of the system are first obtained by monitoring the grid frequency and system operation state. Then. a data-driven state observer is developed to evaluate the state vector of t... https://foldlyers.shop/product-category/headers/