Intelligent Optimization of Circulating Fluidized Bed Boiler

BP neural network can predict and establish a relationship between the parameters of boiler operation. Because this method has certain errors, so this paper presents a optimization method based on genetic algorithm. The method uses the genetic algorithm to optimize the key parameters of boiler operation and search out the maximum boiler efficiency taking advantages of genetic algorithm's global search function. According to optimization results obtained, the staff can adjust the parameters of the boiler and achieve the purpose of optimizing.