Abstract
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.
Highlights
The annual dust emission from coal-fired power plants is the main source of dust pollutants in atmospheric environment in China
With the continuous improvement of environmental protection standards, thermal power plants have to increase the output of electrostatic precipitators in order to ensure the dust removal effect during operation, which will inevitably increase the power consumption of electric precipitators
In order to improve the dust removal effect and achieve energy-saving operation, the domestic electrostatic precipitator power supply is generally replaced with a high-frequency power supply
Summary
In order to improve the dust removal effect and achieve energy-saving operation, the domestic electrostatic precipitator power supply is generally replaced with a high-frequency power supply. The energy-saving optimization of electrostatic precipitators in coal-fired plant generally uses an open-loop control method, that is, the operating parameter setting values of the high-frequency power supply are adjusted according to the unit load. Applying the neural network to establish the outlet concentration-supply voltage model of the electrostatic precipitator, the basic genetic algorithm is used to optimize the energy-saving parameters of the high-voltage power supply. In order to realize the concentration closed-loop control of electrostatic precipitator, the transfer function models of the secondary current of the last two electric fields high-frequency power supply to the electrostatic precipitator outlet concentration at four typical load points were established by means of experimental modeling.
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