中国电机工程学报2018，Vol.38Issue(4)：1093-1100,后插14,9.DOI:10.13334/j.0258-8013.pcsee.170432
基于BP-SVM模糊信息粒化掺烧煤泥 循环流化床经济性建模
Energy Cost Modeling for Circulating Fluidized Bed Boiler Mix-burning Coal Slime Based on BP-SVM and Fuzzy Information Granulation
摘要
Abstract
The circulating fluidized bed (CFB) technology is the best treatment method for comprehensive industrial utilization of coal slime, and mix-burning coal slime is also an important means to improve energy saving of circulating fluidized bed unit. On the basis of the 300MW CFB steady-state operating data, back propagation (BP) algorithm was applied to choose the input variables of the model; The net coal consumption rate after fuzzy information granulation was the output training samples of the BP-FIG-SVM model; SVM was used to build the BP-FIG-SVM model which described the relationship between actual operating condition parameters and the energy cost. The energy cost forecasting model of unit is set up based on actual operation data, and the model is the basis of optimizing energy cost of circulating fluidized bed boiler mix-burning coal slime.关键词
循环流化床/供电煤耗/BP神经网络/模糊信息粒化/改进网格搜索法Key words
circulating fluidized bed (CFB)/net coal consumption rate/BP neural network/fuzzy information granulation/improved grid search method分类
能源科技引用本文复制引用
张维,高明明,洪烽,李艺欣..基于BP-SVM模糊信息粒化掺烧煤泥 循环流化床经济性建模[J].中国电机工程学报,2018,38(4):1093-1100,后插14,9.基金项目
国家重点研发计划(2016YFB0600205) （2016YFB0600205）
中央高校基本科研业务费专项资金项目(2015ZZD15, 2016MS28, 2017XS072). Project Supported by the National Key Research and Development Program (2016YFB0600205) （2015ZZD15, 2016MS28, 2017XS072）
Project Supported by the Fundamental Research Funds for the Central Universities Fund (2015ZZD15, 2016MS28, 2017XS072). （2015ZZD15, 2016MS28, 2017XS072）
