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建立了锅炉燃烧综合性能多目标优化问题的数学模型,给出了基于改进的多目标粒子群优化算法的解决方案,提出了兼顾经济、环保和节能的锅炉燃烧优化综合评价目标,并对由锅炉效率、NOx排放质量浓度和辅机电耗构成的三目标寻优问题进行优化,提出了一种基于效益模型的多目标优化结果判别方法.结果表明:多目标粒子群优化算法可有效处理多目标之间的寻优比较工作,利用其多点并行搜索特性能够同时得到含有多组非劣解的Pareto最优解集,通过判别方法可以快速确定最优燃烧调整方式.
The mathematical model of multi-objective optimization of boiler combustion performance is established. The solution based on the improved multi-objective particle swarm optimization algorithm is given. The goal of economic evaluation, environmental protection and energy saving are put forward. Efficiency, concentration of NOx emission and auxiliary power consumption, a multiobjective optimization result identification method based on benefit model is proposed. The results show that the multi-objective particle swarm optimization algorithm can effectively deal with the multi-objective , The Pareto optimal solution set with multiple sets of non-inferior solutions can be simultaneously obtained by using its multi-point parallel search feature, and the optimal combustion adjustment method can be quickly determined by the discriminant method.