An efficiency-optimizing model for flue gas desulphurization system of 1000 MW thermal power unit in one seaside thermal power plant has been established under constant load

and based on the least square support vector machine.By using the genetic algorithm

the operational parameters

such as the SO2 concentration in the inlet flue gas

the flow rate of pure gas

the temperature of pure flue gas

the electric current of seawater boosting pump

the seawater flow rate and temperature at inlet of the absorption tower

etc.

have been optimized

obtaining the optimization and regulation strategy to enhance the desulphurization efficiency of unit under condition of same load at present.Test on actual unit show that the application of said strategy can enhance the desulphurization efficiency from 96.784% to 98.636%.The reference values of operation parameters for desulphurization system have been determined.