Energy-saving Optimization And Controller Design For Industrial Electrostatic Precipitator Equipment

Electrostatic Precipitator (ESP) is a highly efficient industrial flue gas treating equipment, which plays an important role in the field of metallurgical industry, cement manufacturing industry and power industry,and so on. However, with its comparatively large consumption, optimizing the operating voltage of every electric field of ESP to minimize the power consumption and optimal control for ESP system are becoming more meaningful in the basis of ensuring the collection efficiency and satisfy the outlet concentration.By applying pulse DC negative high voltage on the corona wires in order to engender corona discharging between corona wires and anode plates, ESP can realize the dust collection by the electron current-absorbed dust collected by the anode plates.This paper studied the energy-saving optimization and controller design for Industrial Electrostatic Precipitator Equipment. In energy-saving optimization of electrostatic precipitator,an ESP outlet concentration-power supply voltage model based upon entire-supervised RBF neural network adopting K-means cluster algorithm was established; and the primary corona power model was identified by adopting the least-square method; Then, to satisfy the environmental protection standard on outlet dust concentration and minimize the power consumption,a genetic algorithm was presented to optimize the high voltage power supply parameters and lower power consumption; In the controller design,research on the industrial electrostatic precipitator system controller,and realize the design of embedded software and hardware. The controller adopted two-stage control method to realize sparks tracking control, and it can implement automation using the algorithm of sub-regional governor according to the optimal secondary voltage in automatic mode,hence, control the operating voltage in optimal working point constantly, reduce the power consumption, and achieve the purpose of economic operation.According to the operating datas of electrostatic precipitator device with one room and three electric fields in a steel factory in Tang Shan and validating with the actual datas,the simulation results showed that this paper initially achieved the energy-saving and optimal control for ESP, and can detect spark and realize tracking control in high accuracy. The outlet concentration-power supply voltage model established in this paper can reflect the relationship between the working voltage and outlet dust concentration in a relatively high accuracy. The optimal working voltage based on the genetic algorithm(GA) can meet the requirement of outlet concentration. On the other hand, its power consumption was less than field working value, and it can provide reference values for field working voltage.