Design and Simulation of Intelligent Control System for Electrostatic Precipitator

With the higher emission standard and stranger competition between thermal power plants,the economic and optimization of electrostatic precipitator(ESP) are put forward.The relationship between the parameters of power system and efficiency of electrostatic precipitator is studied,and a neural network model of the efficiency of ESP is built.Based on this model,the genetic algorithm is applied to the parameters optimization control design of ESP,and the simulation results indicate the high efficiency and low power consumption of this method.