摘要
以某电厂600MW超临界机组为例,利用现场实际运行数据,基于标准粒子群算法,建立了中间点(分离器出口)焓值与水煤比之间的传递函数,结果表明,辨识模型很好的反应了实际运行曲线,是超临界机组给水控制决策和控制系统制定及设计的前提保证;同时标准粒子群辨识方法使系统辨识更加快速与准确。
Taking a 600 MW super critical unit as an example, based on the power plant＇ s data and used Standard Particle Swarm Optimization, the transfer function between the separator exports＇ （middle） enthalpy and the water -coal ratio is established. Verification results show that the identification model responses the curve of actual operation well, it is the precondition for the supercritical unit＇ s feed water control system＇ s design and decision; at the same time, the identified method of Particle Swarm Optimization is quicker and more accuracy.
出处
《计算机仿真》
CSCD
北大核心
2015年第1期446-448,462,共4页
Computer Simulation
关键词
粒子群
超临界机组
水煤比
辩识
Particle swarm
Super critical unit
Water-coal ratio
Identification
