The invention relates to a desulfurization
system operation optimization method based on an improved PSOFCM
algorithm. The method comprises the steps: carrying out the clustering of sample data through the improved PSOFCM
algorithm, and building a desulfurization
system operation target condition
library; an ARIMA model is adopted to predict desulfurization boundary conditions; and guiding the adjustment of desulfurization operation parameters. Compared with the prior art, parameters such as pH,
slurry density and the like closely related to desulfurization operation cost are considered simultaneously, the problem of dispatching of a dispatching
circulating pump combining a variable frequency pump and a common
fixed frequency pump of an existing power
plant is solved simultaneously, multi-parameter synchronous adjustment can be performed, and the adjustment mode is more flexible. The traditional FCM
algorithm is improved, aiming at the defects that the traditional FCM is greatly influenced by an initial clustering center, is easy to fall into
local optimum and is uncertain in clustering number, the PSO algorithm is used for optimizing the traditional FCM algorithm, the
local optimum can be avoided. Meanwhile, a clustering effectiveness
evaluation function is introduced, and the clustering number with the best clustering effect can be determined.