Maximum power point tracking method and device of wind energy conversion system

The invention discloses a maximum power point tracking method and device for a wind energy conversion system. The maximum power point tracking method comprises the following steps: intelligently tracking a maximum power point of the wind energy conversion system; utilizing feedback signals of an intelligent agent in reinforcement learning are utilized to continuously interact with the environment,adjusting and improving intelligent decision behaviors, and obtaining an optimal tracking strategy; and deciding, by the intelligent agent, an optimal energy storage scheduling strategy through interaction with the environment, and tracking the maximum power point of the wind energy conversion system in a continuously changing environment. The method and device have the advantages that continuousinteraction with the environment is realized through the feedback signal of the environment to the intelligent agent, the intelligent decision-making behaviors are adjusted and improved, and the optimal strategy is obtained;