<p>Wind power, a promising and efficient renewable energy source for electricity generation, adheres to the global standard grid codes. These codes aim to address critical challenges, with a key emphasis on guaranteeing the capability of low-voltage ride-through (LVRT). The integration of superconducting technologies for energy storage with power electronics-based controllers has driven innovations that significantly enhance the stability of interconnected power systems. This paper investigates the enhancement of transient stability in an interconnected power system comprising doubly fed induction generator (DFIG)-based wind farms (WFs) and steam-driven synchronous generators (SGs) operating under weak grid conditions. The study adopts a combined strategy integrating a superconducting fault current limiter (SFCL) and a superconducting magnetic energy storage (SMES)-based STATCOM controller. An adaptive control scheme using output feedback recurrent neural networks (OFRNNs) governs the operation of the SFCL and SMES-based STATCOM controllers. The proposed approach is tested against symmetrical and asymmetrical fault scenarios to assess its effectiveness in improving system stability. The results from the simulation studies are further verified through experimental validation using controller hardware-in-loop (CHIL) testing conducted on the RT-Lab platform. Performance results indicate that the proposed combined approach mitigates the power deviations at the point of common coupling (PCC) and minimizes the voltage deviations of the power system network, thereby enhancing the transient stability of the system.</p>