华电技术 ›› 2015, Vol. 37 ›› Issue (1): 9-12.

• 研究与开发 • 上一篇    下一篇

基于粒子群算法的超临界机组给水系统模型辨识

  

  1. (河北省发电过程仿真与优化控制工程技术研究中心(华北电力大学),河北保定〓071003)
  • 出版日期:2015-01-25 发布日期:2015-03-25

Model identification of supercritical unit’s water supply system based on standard particle swarm optimization

  1. (Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation (North China Electric Power University), Baoding 071003, China)
  • Online:2015-01-25 Published:2015-03-25

摘要: 摘要:给水控制系统是超临界直流锅炉的重要控制系统之一,建立超临界机组给水系统的精确数学模型是保证给水控制质量的重要基础。鉴于超临界直流炉的复杂性,传统辨识方法已很难辨识出精度较高的模型。针对超临界机组的特点和传统模型辨识的缺点,将粒子群算法用于给水过程模型辨识,以某600MW超临界机组为例,基于电厂实际运行数据,建立了分离器出口(中间点)比焓与给水流量之间的传递函数,验证结果表明所辨识模型能够很好地反映实际运行曲线,为超临界机组给水控制系统的设计提供了前提保证;同时,粒子群辨识方法提高了模型辨识的快速性与准确性。

关键词: 关键词:超临界机组, 给水系统, 粒子群, 辨识, 比焓, 给水流量, 传递函数

Abstract: Abstract:The feed water control is one of the important control systems of supercritical once through boiler. To establish an accurate mathematic model for water supply system of supercritical unit is an important foundation of ensuring water supply control quality. It is difficult to identify more accurate model by using of traditional identification method due to the complexity of supercritical once through boiler. Aiming at the features of the supercritical unit and the shortcoming of the traditional identification method, the standard particle swarm optimization method was used in water supply process identification. Taking a 600MW supercritical unit as example, based on the practical operation data of the power plant, a transfer function between the specific enthalpy of separator outlet (middle point) and the feedwater flow was established. The verification results show that the identification model can reflect actual operation curves accurately, which provide premise and assurance for design of water supply system of supercritical unit. Simultaneously, the rapidity and the accuracy of the identification model were improved by the particle swarm optimization method.

Key words: Keywords:supercritical unit, water supply system, particle swarm, identification, specific enthalpy, feedwater flow, transfer function