河北工业科技2026，Vol.43Issue(2)：138-145,8.DOI:10.7535/hbgykj.2026yx02005
基于改进PSO算法的火电厂锅炉主汽温控制研究
Research on main steam temperature control of thermal power plant boiler based on improved PSO algorithm
摘要
Abstract
To address the issues of poor control stability in existing main steam temperature control algorithms,a control scheme based on improved particle swarm optimization(PSO)was proposed.Through boiler steam flow disturbance analysis,the core control variables of main steam temperature were determined,and an improved PSO algorithm model was constructed.A dynamic nonlinear parameter assignment strategy was introduced,where the inertia weight and learning factors were set as variable values,and optimal solutions were selected based on iteration counts.Meanwhile,a proportional integral derivative(PID)controller was integrated to enhance the coordinated control effect of primary and secondary parameters,achieving stable main steam temperature control.Simulation experiments were conducted using the BoilerSim simulation software and compared with other control algorithms.The results indicate that the proposed scheme achieves a main steam temperature variance of 0.125 and a secondary desuperheater water supply flow variance of 0.223,both of which are lower than those of the classical PSO control algorithm(main steam temperature variance:0.557,secondary desuperheater water supply flow variance:0.882),fuzzy adaptive PID control algorithm(main steam temperature variance:0.265,secondary desuperheater water supply flow variance:1.125),and neural network PID control algorithm(main steam temperature variance:0.271,secondary desuperheater water supply flow variance:1.131).The control stability is significantly improved.This control method demonstrates excellent control performance by improving control accuracy and reducing deviation.It shows good applicability,providing reliable technical support for practical engineering applications.关键词
大系统理论/改进PSO/锅炉主汽温/惯性权重/学习因子/迭代效率Key words
theory of large systems/improved PSO/boiler main steam temperature/inertia weight/learning factors/itera-tion efficiency分类
信息技术与安全科学引用本文复制引用
倪睿,吴国兴,张海峰,吴炫辰,程文煜,黄林滨,牛天文..基于改进PSO算法的火电厂锅炉主汽温控制研究[J].河北工业科技,2026,43(2):138-145,8.基金项目
国家能源集团科技项目(GJNY-23-68) （GJNY-23-68）
