摘要
基于磨煤机节能运行的控制需求,建立了某660MW机组磨煤机能耗模型,根据磨煤机实际运行状况建立相应的约束条件,并对标准粒子群优化(PSO)算法进行初始化改进、惯性权值改进和变异算子的引入后用于磨煤机组合出力的优化策略中.经试验确定各项参数后,对该策略进行Matlab仿真.结果表明:通过改进的PSO算法计算得出的磨煤机组合出力方式对磨煤机的节能运行起到了很大作用.
To satisfy the energy-saving requirements of coal mills in a 660 MW power unit, an energy con sumption model was built up, of which the constraints were set based on actual operation conditions. After initialization improvement, inertia weight improvement and mutation operator introduction, the classical PSO algorithm was applied to combination optimization of the mills, during which Matlab simulation was carried out after all the parameters were determined by tests. Results show that the optimized coal mill combination obtained by improved PSO algorithm will contribute much to energy saving of related coal mills.
出处
《动力工程学报》
CAS
CSCD
北大核心
2014年第1期45-49,共5页
Journal of Chinese Society of Power Engineering
关键词
磨煤机
组合优化
改进的粒子群算法
节能启停控制
coal mill
combination optimization~ improved particle swarm algorithm startup and shutdown control for energy saving
