Robust Tuning of Optimized Tuned Controller for Wind Power System Network to Improve Power Quality

This paper provides a concise overview of research and techniques aimed at enhancing the performance of wind power systems, with a focus on mitigating power quality concerns.Although wind energy has become a more substantial component of the world's energy mix, there are still concerns because wind resources are naturally variable, especially when it comes to electricity quality.The paper highlights the potential of wind energy in reducing greenhouse gas emissions and meeting rising electricity demand.In order to improve overall effectiveness in wind power generation, the study emphasizes optimization methodologies and emphasizes the significance of control systems for wind turbines in maximizing power output, adjusting to changing wind conditions, and addressing power quality issues.A grid connected system incorporating the wind power system network along with D STATCOM is modelled with proportional-integral (PI) controller and detailed comparative total harmonic distortion (THD) analysis has been done for various faults.The STATCOM is tuned with genetic algorithms (GA), ant colony optimization (ACO), and harmony search (HS) based PI controller as a control device to achieve the desired power quality.Leveraging ACO for mitigating THD in wind systems under fault conditions holds promise for substantial enhancements in power quality.This approach has the potential to safeguard equipment, improve system reliability, and contribute to overall performance.