The invention discloses an intelligent
wind power generation method and
system suitable for a subway
piston air shaft, and relates to the field of parameter regulation and control. According to the intelligent
wind power generation method and
system, the future working condition and the
target angle are dynamically predicted by collecting multi-
source field data in real time, and threshold value judgment, multiple repeated prediction and a weighted
smoothing filtering mechanism are combined; invalid fine adjustment and false triggering caused by instantaneous data
jitter are effectively eliminated, a reasonable to-be-adjusted moment is accurately locked, a regulation and control starting opportunity is accurately calculated and pre-planned based on a time-consuming model, and advanced and accurate in-place angle adjustment is guaranteed; and finally, introducing a periodic power deviation closed-loop evaluation iteration mechanism, dynamically and adaptively optimizing a regulation and control trigger threshold value, predicting
smoothing times and
weight distribution core parameters, continuously correcting the adaptive deviation between initial parameters and complex and variable working conditions, and finally, calculating the optimal power deviation of the complex and variable working conditions. And the energy capturing efficiency, the operation stability and the long-term self-adaptive service performance of the
system under complex reciprocating
airflow disturbance are remarkably improved.