Journal of South China University of Technology (Natural Science Edition) ›› 2009, Vol. 37 ›› Issue (2): 158-162.

• Power & Electrical Engineering • Previous Articles    

Optimization Control of Preparation of Coal Water Mixture Based on LSSVM-MODE

Liu Ding-ping1  Ye Xiang-rong1  Deng Hua-yu2   

  1. 1, School of Electric Power, South China University of Technology, Guangzhou 510640, Guangdong, 2. Maoming Thermal Power Plant, Maoming 525011, Guangdong, China
  • Received:2007-10-30 Revised:2007-11-19 Online:2009-02-25 Published:2009-02-25
  • Contact: 刘定平（1965-），男，副教授，博士生，主要从事燃烧优化与控制研究． E-mail:liudingping@126．com
  • About author:刘定平（1965-），男，副教授，博士生，主要从事燃烧优化与控制研究．

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Abstract:

In the production of coal water mixture （ CWM）, there exists an inconsistency between the production cost and the product performance. In order to solve this problem, the least-square support vector machine is em- ployed to establish a muhi-objective optimization model for CWM concentration and ball mill current, and the multi- objective differential evolution algorithm based on Pareto optimal concept is used to optimize the operation condi- tions, Moreover, the fuzzy set theory is introduced to obtain the satisfactory solutions in Pareto solution set. An op- timized adjustment mode of CWM concentration and some strategies to improve the CWM production benefit are fi- nally proposed in the paper.

Key words: coal water mixture, optimal operation, least-square support vector machine, multi-objective differential evolution algorithm