• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2011, Vol. 32 ›› Issue (10): 71-74.

• 发电技术 • 上一篇    下一篇

1036MW机组协调控制系统实时优化分析

卢怀钿,冯庭有,陈凡夫   

  1. 华能海门电厂
  • 收稿日期:2011-07-14 修回日期:2011-08-03 出版日期:2011-10-01 发布日期:2011-10-03
  • 通讯作者: 冯庭有 E-mail:tingyoufeng@yahoo.com.cn

Real-time Optimization of the Coordinated Control System for 1 036 MW Power Unit

  • Received:2011-07-14 Revised:2011-08-03 Online:2011-10-01 Published:2011-10-03
  • Contact: TingYou FENG E-mail:tingyoufeng@yahoo.com.cn

摘要:

针对1 000 MW机组传统协调系统控制方式存在关键参数波动大、变负荷耗能大、不能很好适应煤种变化等实际问题,华能海门电厂采用Infit系统,融合预测控制技术、神经网络学习技术及自适应控制技术控制系统,使机组能在调度要求的自动发电控制变负荷速率下实现主汽压力、中间点温度等参数更优的控制品质。对比分析了关键参数运行动态特性,对同类1 000 MW机组运行具有一定的参考和借鉴作用。

关键词: 超超临界机组, 协调控制(CCS), 预测控制, 控制策略

Abstract:

The typical 1 000 MW power unit coordinate system has several widely-known practical problems, such as large fluctuations of key parameters, significant energy consumption under load variation, poor adaptation of coal species, and so on. However, the Infit system, which combine the predictive control technology, the neural network learning technology and the self-adaptive control technique, was used in Huaneng Haimen Power plant. Therefore, the optimal control system, includingthe optimized parameter such as the main stream pressure, mid-point temperature, are achieved. In this paper, key parameters are compared, the research results can be referenced for the operation of similar 1 000 MW power units.

Key words: ultra-supercritical power units, coordinated control system(CCS), predictive control, control strategy