Proactive Dual-horizon Adaptive Control for 10 Mw Surface-mounted Pmsg Systems Under Severe Lvrt Faults and Wind Turbulence
Year: 2026
Type: article
Abstract: Ultra-large offshore wind energy conversion systems (WECSs) utilizing 10 MW direct-drive Surface-Mounted Permanent Magnet Synchronous Generators (SPMSGs) experience severe dynamic power imbalances during Low-Voltage Ride-Through (LVRT) grid faults under turbulent offshore wind profiles.Deep grid voltage sags severely constrain Grid-Side Converter (GSC) active power transfer, while turbine rotor inertia maintains full mechanical power input, leading to critical DC-link overvoltage surges, converter over-currents, and excessive dynamic braking chopper thermal stress.Standard fixed-gain Proportional-Integral (PI) controllers suffer from integrator windup and sluggish post-fault recovery.To address these challenges, this paper proposes a Dual-Horizon Proactive Reinforcement Learning (RL)-based adaptive control strategy using a continuous-action Actor-Critic architecture.The proposed framework integrates two predictive time scales: a fast electrical horizon (15 ms look-ahead) for grid fault detection (Egrid < 0.85 Enom) and a slow aerodynamic horizon (300 ms look-ahead) for incoming wind power gradient tracking (Δwind/dt).
Author: Ramakrishna Rao Mamidi
Institution: Danish Hydraulic Institute (India)
Language: English
Topic: Wind Turbine Control Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W7225736128