Real-time variable pitch robust control system and method for wind turbine based on reinforcement learning

Abstract

The invention provides a real-time variable pitch robust control system and a method for a wind turbine based on reinforcement learning. The system comprises a wind speed collection system, a fan information collection module, an enhanced signal generation module, a variable pitch robust control module and a control signal generation module, wherein the wind speed acquisition system is used for collecting the wind speed value in a wind field; the fan information collection module is used for collecting the angular speed of a wind wheel; the enhanced signal generation module can generate an enhanced signal according to the collected wind wheel angular speed and rated wind wheel angular speed; the variable pitch robust control module comprises an action network and an evaluation network, theaction network generates an action value according to the wind speed value in the wind field and the wind wheel angular speed and outputs the action value to the evaluation network, the evaluation network performs learning and training according to the enforced signal and the action value and generates a cumulative return value which is output to the action network, and the action network performs learning and training according to the cumulative return value to update and output the action value; the control signal generation module is connected with the action network to generate the received action value and a corresponding control signal; the wind turbine can adjust the pitch angle according to the control signal, the adjustment of the angular speed of the wind wheel is achieved, andthe smooth output power of a fan is ensured.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a robust control system and method for real-time variable pitch of wind turbines based on reinforcement learning. Background technique [0002] At present, new energy technology has been highly valued by the international community. Accelerating the development of renewable energy has become the only way for countries around the world to solve environmental and energy problems, and it is also the top priority of future economic and technological development. As a renewable energy, wind energy is free, clean and pollution-free. Wind power has significant competitive advantages over most renewable energy generation technologies. In many regions of China, wind energy resources are abundant. The development of wind power generation can provide an important guarantee for the development of the national economy. [0003] The natural environment of the area where the wi...

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Problems solved by technology

It can suppress low frequency and high frequency components of unbalanced loads, but these components are easily interfered by other random frequency components

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