A dynamic model of supercritical boiler-turbine unit based on immune genetic algorithm parameter identification

被引：0

作者：

Hau, Guolian ^{[1
]}

Tang, Zhiyan ^{[1
]}

Gong, Linjuan ^{[1
]}

Su, Huilin ^{[1
]}

Hu, Bo ^{[2
]}

Zhao, Yuanzhu ^{[2
]}

机构：

[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China

[2] State Grid Liaoning Elect Power Supply Co Ltd, Shenyang 110004, Peoples R China

来源：

PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021) | 2021年

关键词：

Supercritical once-through boiler-turbine unit; Immune genetic algorithm (IGA); Mathematical model; Parameter identification; ONCE-THROUGH BOILER; SYSTEM;

D O I：

10.1109/CCDC52312.2021.9601729

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, with the development of coal-fired units towards large capacity and high parameters, the position of supercritical once-through boiler unit has become more prominent. In this paper, a nonlinear mathematical model of the supercritical boiler unit is established through a series of assumptions and formula derivation, and then the parameters are identified through regression analysis and immune genetic algorithm (IGA) combined with the operation data of a 1000MW supercritical unit. The inputs of the model are fuel command, feed water and turbine governor valve position while the outputs are turbine power, main steam pressure and steam enthalpy at separator outlet. The simulation results show that the model can characterize the dynamic characteristics of the unit and has acceptable accuracy.

引用

页码：6185 / 6190

页数：6

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