Energy saving optimization method and system for electrostatic precipitators based on genetic algorithm

• Main Authors: HUANG ZHENG, WANG LIN, SHUAI YUNFENG, ZHOU CHUNLEI, WANG WEIQUN, SUN SHUANZHU, ZHANG YOUWEI, LI DOU, LIU NANA
• Format: Patent
• Language: Chinese; English
• Published: 15.02.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; COUNTING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICS; REGULATING

The invention discloses an energy saving optimization method for electrostatic precipitators based on a genetic algorithm, which includes the following steps: S1, creating an electrostatic precipitator mechanism subsystem; S2, collecting the actual operation parameters of an electrostatic precipitator, and identifying an influence coefficient Ki in S1 by using a genetic algorithm; and S3, optimizing and adjusting the secondary current of each electric field of the electrostatic precipitator by using the genetic algorithm, wherein the objective function of the genetic algorithm is that the total power of the electrostatic precipitator is the minimum, and the constraint function is that the dust content at the outlet is less than a set limit. An object gray box subsystem can be established by using an object mathematics subsystem and operation process data, and the optimal operation parameters of the electrostatic precipitator under the current working condition can be obtained by usingthe gray box subsystem an