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浙江大学学报(工学版)
J4  2011, Vol. 45 Issue (4): 621-626    DOI: 10.3785/j.issn.1008-973X.2011.04.006
    
Fuzzy programming based scheduling of steam power system in
petrochemical complex
LIAO Zu-wei1,2, XUAN Ji1, RONG Gang1, ZHANG Jian-dong3
1. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China; 2. State
Key Laboratory of Chemical Engineering, Department of Chemical and Biological Engineering, Zhejiang University,
Hangzhou 310027, China; 3. Zhejiang Branch Company, SINOPEC, Hangzhou 310009, China
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Abstract  

The process data were hard to obtain in existing scheduling methods for steam power system. A scheduling strategy under uncertainty was proposed to deal with the inaccurate data in steam power system. The inaccurate data was presented by triangular fuzzy number, and a fuzzy scheduling model was established. Then the fuzzy model was shifted to a deterministic mixed integer linear programming (MILP) model by using necessity measures and α-level method. Sensitivity analysis was conducted to identify the effects of the imprecise parameters. An example from a certain petrochemical complex was adopted. Results showed that the power demand was most sensitive in the system.

Published: 05 May 2011
CLC:  TQ 021.8  
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Cite this article:

LIAO Zu-wei, XUAN Ji, RONG Gang, ZHANG Jian-dong. Fuzzy programming based scheduling of steam power system in
petrochemical complex. J4, 2011, 45(4): 621-626.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2011.04.006     OR     http://www.zjujournals.com/eng/Y2011/V45/I4/621


基于模糊规划的石化企业蒸汽动力系统调度优化

为了解决在实际蒸汽动力系统调度中过程数据缺乏的问题,引入模糊规划方法.针对不精确的过程数据,提出在不确定情况下蒸汽动力系统的调度策略.采用三角模糊数刻画不精确参数,建立调度问题的模糊模型.采用α满意度法和必然性测度法使模糊模型清晰化,将模糊模型转化为混合整数线性规划(MILP)问题进行求解.通过模糊参数的灵敏度分析,指出对结果影响较大的关键变量.某石化企业的实例研究表明,电力需求的变化对系统影响最大.

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