文章基本信息

标题：Study on boiler’s comprehensive benefits optimization based on PSO optimized XGBoost algorithm
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作者：Hui Wang ; Guobao Zhang ; Yongming Huang 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2021
卷号：261
页码：1-5
DOI：10.1051/e3sconf/202126101027
语种：English
出版社：EDP Sciences
摘要：To predict the boiler’s combustion efficiency and NOxemissions, this paper introduced a particle swarm optimization optimized XGBoost algorithm. The results show that the MAPE can reach 0.107% and 3.732% respectively on the verification set, which is better SVM, LR and ANN. At the same time, this paper presents a comprehensive benefits evaluation function considering economic and environmental benefits to optimize the multi-objective optimization problem of boiler’s combustion efficiency and NOxemission. Based on the operation data of a 300 MW Circulating Fluidized Bed, the experimental results show that: the comprehensive benefits evaluation function can reasonably balance boiler’s combustion efficiency and NOxemissions to achieve the optimal comprehensive benefit.