| 基于遗传神经网络的锅炉入炉煤质软测量研究 |
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| 引用本文： | 巨林仓,李磊,赵强. 基于遗传神经网络的锅炉入炉煤质软测量研究[J]. 热力发电, 2011, 40(3). DOI: 10.3969/j.issn.1002-3364.2011.03.024 |
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| 作者姓名： | 巨林仓 李磊 赵强 |
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| 作者单位： | 西安交通大学能源与动力工程学院,陕西,西安,710049 |
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| 基金项目： | 国家重点基础研究发展(973)计划资助项目，陕西省自然科学研究计划资助项目 |
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| 摘 要： | 基于软测量的非机理建模原理,利用遗传算法结合人工神经网络建立了煤质在线软测量模型.确定了 BP 网络与遗传算法(GA)两者结合的建模方式.分析了原煤从进入制粉系统到完全燃烧及排出的整个过程,得到 BP 网络模型的输入和输出节点参数集;通过对权参数初值进行实数编码,设计了基于实数编码的GA-BP 算法流程,并在Visual Studio2005 开发平台上进行了 GA-BP 算法程序编制及其调试.使用山西某电厂的 200 MW 机组实时运行数据进行模型训练和检测,结果表明煤质软测量模型可以较为准确地预测煤质参数.
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| 关 键 词： | 锅炉 煤质 软测量 BP 网络 遗传算法 |
STUDY ON SOFT-MEASUREMENT OF QUALITY FOR FURNACEENTERING COAL BASED ON GENETIC NEURAL NETWORK |
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| JU Lincang,LI Lei,ZHAO Qiang. STUDY ON SOFT-MEASUREMENT OF QUALITY FOR FURNACEENTERING COAL BASED ON GENETIC NEURAL NETWORK[J]. Thermal Power Generation, 2011, 40(3). DOI: 10.3969/j.issn.1002-3364.2011.03.024 |
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| Authors: | JU Lincang LI Lei ZHAO Qiang |
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| Affiliation: | JU Lincang,LI Lei,ZHAO Qiang College of Energy and Power Engineering,Xi'an Jiaotong University,Xi'an 710049,Shaanxi Province,PRC |
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| Abstract: | Based on the non-mechanism modelling principle for soft-measurement,an on-line soft-measuring model used for coal quality has been established by using genetic algorithm(GA) combined with artificial neural network.The BP neural network and GA have been presented,and the modelling mode of their combination being determined.The whole process,including the raw coal entering into the coal-pulverizing system to being fully burnt-up and discharged away has been analysed,obtaining a collection of parameters at the... |
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| Keywords: | boiler coal quality soft-measurement BP genetic algorithm |
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