水煤浆气化装置操作优化技术及其应用

doi:10.3969/j.issn.0438-1157.2012.09.020

化工学报 ›› 2012, Vol. 63 ›› Issue (9): 2799-2804.DOI: 10.3969/j.issn.0438-1157.2012.09.020

水煤浆气化装置操作优化技术及其应用

孙漾, 顾幸生

华东理工大学化工过程先进控制和优化技术教育部重点实验室, 上海 200237

收稿日期:2012-06-17 修回日期:2012-06-24 出版日期:2012-09-05 发布日期:2012-09-05
通讯作者: 顾幸生
作者简介:孙漾(1984-),男,博士研究生。
基金资助:
国家自然科学基金项目(61174040);国家高技术研究发展计划项目(2009AA04Z141);上海市自然科学基金项目(11ZR1409800)。

Coal water slurry gasification unit operation optimization technology and its application

SUN Yang, GU Xingsheng

Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China

Received:2012-06-17 Revised:2012-06-24 Online:2012-09-05 Published:2012-09-05
Supported by:
supported by the National Natural Science Foundation of China(61174040),the High-tech Research and Development Program of China(2009AA04Z141)and Shanghai Commission of Science and Technology(11ZR1409800).

摘要/Abstract

摘要： 针对水煤浆气化装置操作优化问题,提出了一种多种群竞争型协同文化差分进化算法(MCCDE),算法中建立了基于差分进化算法的竞争型协同策略及竞争适应度评判方法,并引入了文化算法的部分思想。同时,建立了德士古气化炉操作优化模型,将MCCDE算法用于优化模型的求解。采用某化工厂气化系统实际运行数据进行仿真,经过操作优化计算,能够获得优化的控制参数,并提高气化炉有效气产率。最后,开发了水煤浆气化操作优化系统应用软件,能够实现将建模、控制、优化技术应用于实际生产中,以提高装置的经济效益。

关键词: 水煤浆气化, 操作优化, 智能优化算法, 软件开发

Abstract: For coal gasification operation optimization problem,a multi-population competitive co-evolutionary cultural differential evolution(MCCDE)algorithm is proposed.In MCCDE,a competitive co-evolutionary strategy based on differential evolution and a fitness value evaluation method are designed.And some ideas from cultural algorithm are also introduced into MCCDE.Meanwhile,an operation optimization model is constructed.MCCDE algorithm is used to solve the problem of operation optimization model.Simulations with a Texaco gasification unit for example testified that optimized operation variables can be found and the effective gas rate can be increased by the optimization model and algorithm.Finally,a coal gasification operation optimization system software is designed and developed,modeling,control and optimization technologies can be used in practical production to gain more economic benefits through the use of the coal gasification operation optimization system software.

Key words: coal water slurry gasification, operation optimization, intelligent optimization algorithm, software development

中图分类号:

TP273

孙漾, 顾幸生. 水煤浆气化装置操作优化技术及其应用[J]. 化工学报, 2012, 63(9): 2799-2804.

SUN Yang, GU Xingsheng. Coal water slurry gasification unit operation optimization technology and its application[J]. CIESC Journal, 2012, 63(9): 2799-2804.

参考文献 13

[1]	Li Zhijian(李志坚).Selection of coal gasification technology[J].Chemical Industry(化学工业),2008,26(4):1-6
[2]	Han Qiyuan(韩启元),Xu Shisen(许世森).Development and progress in large-scale coal gasification technology[J].Thermal Power Generation(热力发电),2008,37(1):4-8,12
[3]	Gong Xin(龚欣),Yu Zunhong(于遵宏),Wang Fuchen(王辅臣),Liu Haifeng(刘海峰),Yu Guangsuo(于广锁).Application and development in coal water slurry gasification in China[J].Energy Conservation and Environmental Protection(节能与环保),2001(5):21-23
[4]	Potter M A.The design and analysis of a computational model of cooperative coevolution.Fairfax,VA,USA:George Mason University,1997
[5]	Potter M A,Jong K A D.A cooperative coevolutionary approach to function optimization[J].Lecture Notes in Computer Science,1994,866:249-257
[6]	Reynolds R G.An introduction to cultural algorithms//Proceedings of the Third Annual Conference on Evolutionary Programming.River Edge,New Jersey:World Scientific,1994:131-139
[7]	Storn R,Price K.Differential evolution:a simple and efficient heuristic for global optimization over continuous spaces[J].Journal of Global Optimization,1997,11:341-359
[8]	Price K V,Storn R M,Lampinen J A.Differential Evolution:A Practical Approach to Global Optimization[M].Germany:Springer-Verlag Berlin Heidelberg,2005
[9]	Angeline P J,Pollack J B.Competitive environments evolve better solutions for complex tasks//Proceedings of the 5th International Conference on Genetic Algorithm.Morgan Kavfmann,1993,264-270
[10]	Gu J W,et al.A novel competitive co-evolutionary quantum genetic algorithm for stochastic job shop scheduling problem[J].Computers and Operations Research,2010,37(5):927-937
[11]	Sun Yang(孙漾),Zhang Lingbo(张凌波),Gu Xingsheng(顾幸生).Texaco coal gasification process coal blending model and optimization[J].CIESC Journal(化工学报),2010,61(8):1965-1970
[12]	Wang Xuewu(王学武),Wang Dongqing(王冬青),Chen Cheng(陈程),Gu Xingsheng(顾幸生),Sun Ziqiang(孙自强).Soft-sensing system of gasification furnace temperature based on chaos-RBF neural network[J].Control and Instruments in Chemical Industry(化工自动化及仪表),2006,33(5):48-50,54
[13]	Sun Yang(孙漾).Process modeling and operation optimization methods for coal water slurry gasification unit.Shanghai:East China University of Science and Technology,2012

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水煤浆气化装置操作优化技术及其应用

Coal water slurry gasification unit operation optimization technology and its application

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