Predictive control of steam temperature in boilers
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Predictive control of steam temperature in boilers
Thermal Power GenerationVol. 43, Issue 12, Pages: 105-109(2014)
作者机构:
1. 国网新疆电力公司电力科学研究院
2. 新华控制工程有限公司
作者简介:
基金信息:
DOI:
CLC:TK22;TK311
Published:2014
稿件说明:
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LI Wei, LIU Shijun, ZHOU Yuyang. Predictive control of steam temperature in boilers[J]. Thermal power generation, 2014, 43(12): 105-109.
DOI:
LI Wei, LIU Shijun, ZHOU Yuyang. Predictive control of steam temperature in boilers[J]. Thermal power generation, 2014, 43(12): 105-109.DOI:
Predictive control of steam temperature in boilers
摘要
针对锅炉蒸汽温度(汽温)模型预测控制在机组大范围负荷变动工况下的适应性问题
通过机理性分析和锅炉换热设备的特性建立了汽温对象的多机理模型
利用粒子群算法对所建模型进行修正
并引入了模糊切换功能
使模型能够更加精确地描述实际气温变化过程
提高了其自适应性和预测控制的可靠性。
Abstract
In view of the challenge in controlling temperature when the boiler experiences load changes in a large scope of ramp rates
this paper presents a practical solution when modular predictive control was applied for tight control.By theoretical analysis and based on the heat exchangers' performance
the multimechanism model for steam temperature was established.Moreover
the particle swarm optimization(PSO)algorithm was adopted to revise the established model.Furthermore
the fuzzy switch function was introduced to make the multi-mechanism model can describe the actual condition more accurately.Thus
the adaptability of the built model can be enhanced and its predictive control function can be improved.
Research on main and reheat steam temperature lifting method for ultra supercritical 1 000 MW unit double-tangential circular boiler
Experimental study on steam temperature enhancement for an in-service subcritical unit
Boiler exhaust gas temperature modeling based on particle swarm algorithm and support vector machine
CONTROL MEASURES FROM BOILER SIDE IN LOAD REJECTION TEST OF SUPERCRITICAL 600 MW UNIT
STEAM TEMPERATURE CONTROL STRATEGY FOR PIPE-BLOWING BY USING STEAM UNDER CONDITION WITHOUT BOILER WATER CIRCULATING PUMP FOR ULTRA-SUPERCRITICAL 1 000 MW UNIT
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Related Institution
Xi’an Thermal Power Research Institute Co., Ltd.
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