摘要：Dynamic model is the foundation to achieve feedback control of Electrostatic Precipitator (ESP) so as to reduce dust emission concentration and high power consumption. This paper investigates the dynamic modeling of outlet dust concentration of a dry electric precipitator with five electric field structure in a 1000MW power plant. The secondary current of the high-frequency power supply of the last two electric fields of the ESP are taken as control inputs, whereas the outlet dust concentration is taken as output. With increasingly stepping the secondary current at four typical load points, experimental data of outlet dust concentration are collected to identify parameters of dynamic models after fixing its structure based on an immune genetic algorithm. The experimental results suggest that the established dynamic models can capture the real dynamics of ESP and have high accuracy.
其他摘要：Dynamic model is the foundation to achieve feedback control of Electrostatic Precipitator (ESP) so as to reduce dust emission concentration and high power consumption. This paper investigates the dynamic modeling of outlet dust concentration of a dry electric precipitator with five electric field structure in a 1000MW power plant. The secondary current of the high-frequency power supply of the last two electric fields of the ESP are taken as control inputs, whereas the outlet dust concentration is taken as output. With increasingly stepping the secondary current at four typical load points, experimental data of outlet dust concentration are collected to identify parameters of dynamic models after fixing its structure based on an immune genetic algorithm. The experimental results suggest that the established dynamic models can capture the real dynamics of ESP and have high accuracy.
