A Modified Mutation-Dissipation Binary Particle Swarm Optimization Algorithm and Its Application to WFGD Control

Abstract

The absorber slurry pH value control is very important in the limestone-gypsum wet flues gas desulphurization technology which is widely adopted in thermal power plant in China. As the simple PID control method can not get the satisfactory control performance because of the complexity of the absorber slurry pH value control, we propose a modified mutation-dissipation binary Particle Swarm Optimization (MDBPSO) algorithm and adopt it to optimize the PID controller parameters. The simulation results show MDBPSO algorithm have better optimization ability and can find the global optima effectively. By construct the proper fitness function of PID controller parameter optimization, MDBPSO algorithm can effectively find the optimal PID parameters, which make controller restrain the overshoot, quick response the change of pH value and achieve the ideal control performance of absorber slurry pH value.