The invention relates to the technical field of intelligent optimization, and provides a
wind power master control PLC operation optimization method and
system based on environmental parameter fusion, and the method comprises the steps: constructing a comprehensive and high-dimensional
wind field feature description through fusing the far-end pre-detection data of a
laser radar, the real-time state data of a cabin, and key environmental parameters; and the limitation and
distortion problems of a single information source are overcome. And then analyzing a historical feature sequence by using a
wind direction prediction model, accurately predicting the incoming flow
wind direction at a future key time point, and converting a
control mode from passive response to active pre-judgment. And finally, the prediction result is converted into a
yaw compensation instruction which is subjected to security constraint and smooth
processing and can be directly executed, and the
yaw compensation instruction is issued to a master control PLC. According to the closed-
loop design integrating
perception, advanced prediction and safety compensation, the wind
turbine generator can act in advance and accurately aim at incoming flow wind, and therefore on the premise that the safety of the wind
turbine generator is guaranteed, the energy capture efficiency is maximized, and unnecessary mechanical loads are reduced.