Optimal Soot Blowing Strategies in Boiler Systems with Variable Steam Flow

Jie Wen, Yuanhao Shi, Xiaoqiong Pang, J. Jia, Jianchao Zeng
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引用次数: 2

Abstract

The optimal soot blowing strategies of boiler systems with variable steam flow is investigated based on Hamilton-Jacobi-Bellman (HJB) equation in this paper. A continuous time Markov process with soot deposition mode and soot blowing mode is constructed as the mathematical model of boiler systems. In order to obtain the optimal soot blowing strategies, we propose a cost function based on the constructed boiler model, and derive the corresponding value function, which is the solution of HJB equation. In particular, the elementary properties of value function are described and proved strictly. Considering the difficulty of solving the HJB equation analytically, Kushner's method is applied to get the numerical solution of HJB equation, and the experiment results are analyzed.
变流量锅炉系统的最优吹灰策略
本文基于Hamilton-Jacobi-Bellman (HJB)方程,研究了变蒸汽流量锅炉系统的最优吹灰策略。建立了具有积灰模式和吹灰模式的连续时间马尔可夫过程作为锅炉系统的数学模型。为了获得最优的吹灰策略,在构建的锅炉模型的基础上提出了成本函数,并推导出相应的值函数,即HJB方程的解。特别地,对值函数的初等性质进行了严格的描述和证明。考虑到解析求解HJB方程的难度,采用Kushner方法得到了HJB方程的数值解,并对实验结果进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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