The invention discloses a gas
turbine combustion stability online regulation and control method based on
deep learning, and aims to solve the problem of
combustion instability prevention and control under the scene that fuel components / heat values are variable and are constrained by emission. The method comprises the following steps: firstly, fusing
unit load, fuel characteristics and
dynamic pressure of a
combustion chamber, and constructing a ten-dimensional fuel characteristic
package and a 2,000-448-dimensional pressure sequence; then, through a self-adaptive
stability margin estimation network containing a stability judgment
trunk and a fuel condition calibration layer, in combination with comparison event online calibration, self-adaptive
stability margin of cross-fuel alignment is output; matching the
risk level with the threshold group, screening regulation and control actions in an emission qualified adjustable range, calculating the amplitude, and generating a regulation and control instruction draft; and finally, through closed-loop
verification, outputting a final regulation and control instruction or a
rollback instruction according to the stable response quantity. According to the method, online self-adaptive evaluation of the
stability margin and closed-loop regulation and control under emission constraint are realized, the
combustion instability risk is effectively inhibited, and the
operation safety and continuity of the unit are improved.