Active Low‐Voltage Ride‐Through Control Strategy for Wind Turbines to Improve Transient Stability in Power Systems

ABSTRACT The increasing integration of wind power poses a challenge to power system transient stability. Conventional low‐voltage ride‐through (LVRT) control is hindered by passive triggering and delays, while synchronous generator tripping (SGT) incurs economic costs. This study proposes a coordinated strategy that enhances transient stability by combining active LVRT control of Wind Turbine Generators (WTGs) with SGT. The stability mechanism of active LVRT is analysed, and a model of an active LVRT doubly‐fed induction generator (DFIG) is developed. An intelligent decision‐making platform, employing the Proximal Policy Optimisation (PPO) deep reinforcement learning algorithm, dynamically optimises active LVRT parameters—start‐stop timing, duration, and participating WTG count—based on real‐time system states. Furthermore, a disturbance severity‐graded coordinated control strategy dynamically selects the appropriate control response level between active LVRT and SGT. Simulations confirm that the active LVRT strategy significantly improves transient stability. Its coordination with SGT optimises stability enhancement, demonstrating strong adaptability and robustness across diverse fault scenarios. This research presents a viable approach for ensuring the secure and stable operation of power grids with high penetration of renewable energy.