摘要
开环配煤没有考虑锅炉的燃烧状况和预测负荷的不确定性,配煤精度低。为了提高配煤的准确性,提出了一种基于当前批次的配煤掺烧情况滚动指导下一批次配煤的闭环配煤方法。首先,基于单煤的煤质参数,建立开环的配煤优化模型。然后,采用变不确定覆盖域的二型模糊系统对配煤优化模型的约束边界补偿进行建模。相比于固定的不确定覆盖域,变不确定覆盖域提高了二型模糊系统的建模速度。最后,实验结果验证了所提闭环配煤方法的有效性和优越性。
The combustion condition of the boiler and the uncertainty of the predicted load are not considered in the open-loop coal blending.In order to improve the accuracy of coal blending,a closed-loop coal blending method is proposed,in which the next batch of coal blending is guided by the coal blending situation of the current batch on a rolling basis.Firstly,based on the coal quality parameters of single coal,an open-loop optimization model of coal blending is established.Then,the constrained boundary compensation of the coal blending optimization model is modeled by a type-2 fuzzy system with variable footprint of uncertainty.Compared with fixed footprint of uncertainty,variable footprint of uncertainty improves the modeling speed of the type-2 fuzzy system.Finally,experimental results verify the effectiveness and superiority of the proposed closed-loop coal blending method.
作者
姜彦辰
解继刚
李前胜
王建
李杨
戴润泽
王永富
JIANG Yanchen;XIE Jigang;LI Qiansheng;WANG Jian;LI Yang;DAI Runze;WANG Yongfu(Dalian Power Plant,Huaneng Power International Co.Ltd.,Dalian 116100,China;School of Mechanical Engineering and Automation,Northeastern University,Shenyang 110819,China)
出处
《控制工程》
北大核心
2025年第4期646-652,共7页
Control Engineering of China
基金
流程工业综合自动化国家重点实验室开放课题基金资助项目(2021-KF-11-02)。
关键词
闭环配煤
变不确定覆盖域
二型模糊系统
配煤优化模型
补偿建模
Closed-loop coal blending
variable footprint of uncertainty
type-2 fuzzy system
coal blending optimization model
compensation modeling
