人工智人-家居设计-300MW循环流化床机组SNCR脱硝系统智能控制策略研究.pdf

目 录

中文摘要 ............................................................................................................................... I

ABSTRACT ......................................................................................................................... II

第一章 绪论 ........................................................................................................................ 1

1.3.1 本文主要研究内容 ..................................................................................... 5

1.3.2 本课题创新点 ............................................................................................. 6

第二章 CFB 锅炉脱硝技术理论分析................................................................................ 7

2.1 CFB 锅炉技术原理................................................................................................ 7

2.2 CFB 锅炉 NO

X

生成机理及影响因素分析 .......................................................... 8

2.3 CFB 锅炉 SNCR 与 SCR 脱硝原理及影响因素分析........................................ 10

2.3.1 CFB 锅炉 SNCR 脱硝原理及影响因素分析 .......................................... 10

2.3.2 CFB 锅炉 SCR 脱硝原理及影响因素分析 ............................................. 12

2.4 试验机组超低排放技术简介 .............................................................................. 15

2.4.1 试验机组简介 ........................................................................................... 15

2.4.2 试验机组脱硝系统及控制现状分析 ....................................................... 16

3.1 引言 ...................................................................................................................... 19

3.2 CFB 机组 NO

X

的 BP 神经网络建模.................................................................. 19

3.2.1 NO

3.3.1 BP 神经网络的正向传播机制 ................................................................. 24

3.3.2 实现 BP 神经网络模型的 DCS 平台 ...................................................... 25

3.3.3 实际运行效果与分析 ............................................................................... 27

3.4 本章小结 .............................................................................................................. 28

第四章 基于智能控制的 SNCR 脱硝控制策略设计 ...................................................... 29

4.2.2 分层优化结构 ........................................................................................... 31

4.2.3 数据的预处理 ........................................................................................... 32

4.2.4 基于专家控制的区间控制 ....................................................................... 33

4.2.5 基于无模型自适应的稳态优化 ............................................................... 34

4.2.6 基于 BP 神经网络的前馈控制 ................................................................ 38

4.2.10 其它控制策略 ......................................................................................... 43

4.3 仿真验证 .............................................................................................................. 44

4.4 脱硝系统实际运行效果与经济指标分析 .......................................................... 45

4.4.1 实际运行效果分析 ................................................................................... 45

4.4.2 经济指标分析 ........................................................................................... 46

5.1 课题结论 .............................................................................................................. 48

5.2 工作展望 .............................................................................................................. 49

参考文献 ............................................................................................................................ 50

致谢 .................................................................................................................................... 58

个人简况及联系方式 ........................................................................................................ 59

承诺书 ................................................................................................................................ 60

学位论文使用授权声明 .................................................................................................... 61

Contents

Chinese Abstract .................................................................................................................. I

Abstract ............................................................................................................................... II

Chapter 1 Introduction ...................................................................................................... 1

1.3.1 Main Research Contents .............................................................................. 5

1.3.2 Innovations .................................................................................................. 6

Chapter 2 Theoretical Analysis of Denitration Technology of CFB Boiler ................... 7

2.1 Technology Principle of CFB Boiler ...................................................................... 7

2.2 NO

X

Generation Mechanism and Influencing Factors Analysis of CFB Boiler ..... 8

2.5 Conclusion of the Chapter .................................................................................... 18

3.2 BP Neural Network Modeling of CFB Unit NO

3.2.1 Auxiliary Variables Selection of NO

3.2.2 Input and Output Data Preprocessing ........................................................ 21

3.2.3 Setting Up BP Neural Network Model ...................................................... 22

3.3 Implementation of BP Neural Network Model in DCS of Test Unit ................... 24

3.4 Conclusion of the Chapter .................................................................................... 28

Control ............................................................................................................................... 29

4.1 Introduction .......................................................................................................... 29

4.2 Intelligent Control Strategy of SNCR Denitration System .................................. 30

4.2.4 Interval Control Based on Expert Control ................................................. 33

4.2.5 Steady State Optimization Based on Model-free Adaptive ....................... 34

4.2.6 Feed Forward Control Based on BP Neural Network ............................... 38

4.2.7 Low Limit and High Limit Protection of Reducing Agent Based on BP

Neural Network .................................................................................................. 40

4.2.10 Other Control Strategies .......................................................................... 43