Enhancing Stability in Wind‐Integrated Power Systems Through Coordinated Control of <scp>POD</scp>, <scp>PSS</scp>, and <scp>SVC</scp> With Fuzzy Logic: A Comprehensive Study Under Various Operating Conditions

ABSTRACT This research proposes a coordinated approach for power oscillation damping (POD) of wind farms (WFs), power system stabilizer (PSS) of synchronous generators (SGs), and static var compensator (SVC) to enhance transient stability. The study explored the impact of wind speed variation, WF integration, and replacement of SG with WF and severe disturbances on system stability, addressing challenges such as dynamic performance impact and reduced power system inertia, which can lead to stability issues and undamped oscillations in generators. Different control strategies, including POD, PSS, and SVC, are proposed to tackle these challenges and improve transient stability. Conventional controllers face limitations in handling nonlinear characteristics, especially during severe disturbances. Coordination between POD, PSS, and SVC is crucial for achieving desired performance, facilitated by fuzzy logic control (FLC). FLC adapts to system operating conditions, generating optimal signals to adjust controllers based on measured variables. Utilizing FLC, lead‐lag parameters of controllers are finely tuned, demonstrating improved stability performance over conventional approaches. The MATLAB/Simulink using RT‐Lab‐OP4500 experimental platform with the modified IEEE‐9‐bus system confirm the proposed approach's effectiveness in enhancing transient stability under diverse operating conditions. Comparative analysis confirms the proposed approach's robustness and superiority in stabilizing power oscillations, especially during three‐phase faults. Results demonstrate improved stability performance and effective damping of oscillations, establishing the coordinated controller combinations with FLC as a viable solution for system stability enhancement. The proposed approach enhances small signal and transient stability by effectively damping oscillations, demonstrating promising results for practical applications during challenges related to uncertainties and nonlinearities.