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以效率和低NOx排放为目标的锅炉燃烧整体优化
引用本文:许昌,吕剑虹,郑源,冯晓琼.以效率和低NOx排放为目标的锅炉燃烧整体优化[J].中国电机工程学报,2006,26(4):46-50.
作者姓名:许昌  吕剑虹  郑源  冯晓琼
作者单位:1. 河海大学热能与动力工程系,江苏省,南京市,210098
2. 东南大学动力系,江苏省,南京市,210096
摘    要:基于效率和低NOx排放目标的锅炉燃烧整体优化是指实时地提出同时优化效率和低NOx排放目标的操作,而其中锅炉效率和NOx排放模型的精度以及优化算法的效率尤为重要。该文基于改进MRAN算法的锅炉燃烧效率和NOx排放模型以及基于实数编码的遗传优化算法,对电站锅炉的燃烧过程进行优化仿真。结果表明,改进的MRAN算法和基于实数编码的遗传算法应用在电站锅炉的效率和低NOx排放目标燃烧优化上是有效的,可以得到按一定目标函数的锅炉效率和低NOx排放目标的实时整体优化效果。

关 键 词:热能动力工程  最小资源分配网络  氮氧化物  遗传算法
文章编号:0258-8013(2006)04-0046-05
收稿时间:2005-09-22
修稿时间:2005年9月22日

A Boiler Combustion Global Optimization on Efficiency and Low NOx Emissions Object
XU Chang,LU Jian-hong,ZHEN Yuan,FENG Xiao-qiong.A Boiler Combustion Global Optimization on Efficiency and Low NOx Emissions Object[J].Proceedings of the CSEE,2006,26(4):46-50.
Authors:XU Chang  LU Jian-hong  ZHEN Yuan  FENG Xiao-qiong
Abstract:Boilers combustion global optimization on efficiency and low NOx emissions object is proposing operations on line for considering efficiency and low NOx emissions object simultaneously. According to this problem, Boilers efficiency and NOx emissions model precision and optimization algorithm efficiency are very important. Simulation studies on boilers efficiency and low NOx emissions object combustion global optimization are carried out by improved MRAN algorithm on combustion efficiency and low NOx emissions object and genetic algorithm on real coding. The results show improved MRAN algorithm and genetic algorithm on real coding are effective on efficiency and low NOx emissions object combustion optimization for the power station boilers. The proposed algorithms can get global optimum conditions of boilers efficiency and low NOx emissions object online for a certain object function.
Keywords:Thermal power engineering  Miminal resource allocating networks (MRAN)  NOx  Genetic algorithm
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