Reinforcement learning-based real time robust variable pitch control of wind turbine systems

A system for reinforcement learning-based real time robust variable pitch control of a wind turbine system, comprising:

• a wind speed collecting system configured to collect wind speed data of a wind farm to generate a real-time wind speed value;
• a wind turbine information collecting module connected to a wind power generator, configured to collect a rotor angular speed of the wind power generator;
• a reinforcement signal generating module in signal connection with the wind turbine information collecting module, configured to generate in real time a reinforcement signal based on the collected rotor angular speed and a rated rotor angular speed;
• a variable pitch robust control module, which is also referred to as a reinforcement learning module, comprising an action network and a critic network, wherein the action network is in signal connection with the wind speed collecting system and the wind turbine information collecting module and configured to generate an action value based on the real-time wind speed value and the rotor angular speed received and output the action value to the critic network;
• the critic network is in connection with the wind speed collecting system, the wind turbine information collecting module, and the reinforcement signal generating module and configured to generate a cumulative return value based on the real-time wind speed value, the rotor angular speed, and the action value received, perform learning training based on the reinforcement signal received, and iteratively update the cumulative return value and the critic network;
• and the action network performs learning training based on the updated cumulative return value to iteratively update the action network and the action value;
• and
• a control signal generating module disposed between and in signal connection with the reinforcement learning module and the wind power generator, configured to generate, based on the set mapping function, a control signal corresponding to the action value iteratively updated by the action network, wherein the wind power generator adjusts the pitch angle based on the control signal to thereby adjust the rotor angular speed.