基于加权模糊C-均值聚类的锅炉运行参数基准值建模
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摘要
锅炉运行参数基准值是锅炉耗差分析的基础和前提。本文提出了基于加权模糊C-均值聚类的锅炉运行参数基准值确定方法,该方法基于不同锅炉运行参数对锅炉效率影响程度不同,利用锅炉效率简化计算模型对锅炉运行参数进行求导,进而确定不同锅炉运行参数各自的权重;然后利用加权模糊C-均值聚类算法在典型负荷区间进行多参量同步挖掘,从而确定锅炉运行参数基准值。实例分析结果表明,相对于基于模糊C-均值聚类的传统方法,本文方法确定的锅炉运行参数基准值更加合理有效。
The reference value of boiler operating parameters is the basis and prerequisite of boiler consumption deviation analysis. This paper proposed a method for determining reference value of the boiler operating parameters based on weighted fuzzy C-means clustering algorithm. Because the influence degree of different boiler operating parameters on the boiler efficiency is different, this method uses the simplified boiler efficiency calculation model to differentiate the operating parameters, thus to obtain the weight of each boiler operating parameter. Then, the weighted fuzzy C-means clustering algorithm is applied to mine multiple parameters synchronously in the typical load range, so as to determine the reference value of the boiler operating parameters.The case study results show that, compared with the conventional method based on fuzzy C-means clustering, the proposed method can determine more reasonable and effective reference values of the boiler operating parameters.
The reference value of boiler operating parameters is the basis and prerequisite of boiler consumption deviation analysis. This paper proposed a method for determining reference value of the boiler operating parameters based on weighted fuzzy C-means clustering algorithm. Because the influence degree of different boiler operating parameters on the boiler efficiency is different, this method uses the simplified boiler efficiency calculation model to differentiate the operating parameters, thus to obtain the weight of each boiler operating parameter. Then, the weighted fuzzy C-means clustering algorithm is applied to mine multiple parameters synchronously in the typical load range, so as to determine the reference value of the boiler operating parameters.The case study results show that, compared with the conventional method based on fuzzy C-means clustering, the proposed method can determine more reasonable and effective reference values of the boiler operating parameters.
引文
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[10]赵欢,王培红,钱瑾,等.基于模糊C-均值聚类的锅炉监控参数基准值建模[J].中国电机工程学报,2011,31(32):16-22.ZHAO Huan,WANG Peihong,QIAN Jin,et al.Modeling for target-value of boiler monitoring parameters based on fuzzy C-Means clustering algorithm[J].Proceedings of the CSEE,2011,31(32):16-22.
[11]张小桃,王培红.一种新的锅炉效率计算模型[J].电站系统工程,1999,15(4):16-17.ZHANG Xiaotao,WANG Peihong.New computing model for boiler efficiency[J].Power System Engineering,1999,15(4):16-17.
[12]DUNN J.A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters[J].Journal of Cybernetics,1973,8(3):32-57.
[13]BEZDEK J C.Pattern recognition with fuzzy objective function algorithms[M].New York:Plenum Press,1981:62-78.
[14]上海发电设备成套设计研究所.电站锅炉性能试验规程:GB 10184-88[S].北京:国家技术监督局,1989:10-11.Shanghai Power Equipment Research Institute.Performance test code for boiler:GB 10184-88[S].Beijing:State Bureau of Technical Supervision,1989:10-11.
[15]郑体宽.热力发电厂[M].北京:中国电力出版社,2008:18-20.ZHENG Tikuan.Thermal power station[M].Beijing:China Electric Power Press,2008:18-20.
[16]殷捷.大型电站锅炉性能在线监测模型研究[D].南京:东南大学,2011:61-63.YIN Jie.Research on performance monitoring model of large-scale utility boiler[D].Nanjing:Southeast University,2011:61-63.
[2]薛朝囡,王万海,韩小渠,等.基于GSE的600 MW锅炉热力系统变工况特性仿真研究[J].工程热物理学报,2014,35(10):2001-2004.XU Zhaonan,WANG Wanhai,HAN Xiaoqu,et al.Simulation on variable condition characteristics of600 MW supercritical boiler thermal system based on GSE[J].Journal of Engineering Thermophysics,2014,35(10):2001-2004.
[3]崔育奎,陶丽,崇培安.神经网络Skeletonization算法在优化锅炉运行参数中的应用[J].锅炉技术,2016(2):21-26.CUI Yukui,TAO Li,CHONG Peian.Application of neural network algorithm Skeletonization for boiler performance optimization[J].Boiler Technology,2016(2):21-26.
[4]李建强,汪安明,潘文凯,等.燃煤电站锅炉低NOx燃烧运行参数优化[J].动力工程学报,2016,36(5):337-342.LI Jianqiang,WANG Anming,PAN Wenkai,et al.Operating parameters optimization for low NOx combustion of coal-fired boilers[J].Journal of Chinese Society of Power Engineerin,2016,36(5):337-342.
[5]王春林,张乐.电站锅炉低NOx燃烧建模优化研究与应用[J].热能动力工程,2013,28(4):390-394.WANG Chunlin,ZHANG Le.Optimization study and application of the modeling of the low NOx combustion of a utility boiler[J].Journal of Engineering for Thermal Energy&Power,2013,28(4):390-394.
[6]刘宝玲,何钧,曾暄.嵌套式数据挖掘技术在电站工况分析中的应用[J].电站系统工程,2014(5):13-15.LIU Baoling,HE Jun,ZENG Xuan.The application of nested data mining in power plant operating condition analysis[J].Power System Engineering,2014(5):13-15.
[7]刘吉臻,牛成林,李建强,等.锅炉经济性分析及最优氧量的确定[J].动力工程,2009,29(3):245-249.LIU Jizhen,NIU Chenglin,LI Jianqiang,et al.Boiler economic analysis and the determination of optimal oxygen content[J].Journal of Power Engineering,2009,29(3):245-249.
[8]谷俊杰,孔德奇,高大明,等.电站锅炉燃烧优化中最佳烟气含氧量设定值的计算[J].华北电力大学学报(自然科学版),2007(6):61-65.GU Junjie,KONG Deqi,GAO Daming,et al.Calculation of the optimal set value of flue gas oxygen content for the optimization of combustion in power plant boiler[J].Journal of North China Electric Power University,2007(6):61-65.
[9]钱瑾,王培红,李琳.聚类算法在锅炉运行参数基准值分析中的应用[J].中国电机工程学报,2007,27(23):71-74.QIAN Jin,WANG Peihong,LI Lin.Application of clustering algorithm in target-value analysis for boiler operation parameter[J].Proceedings of the CSEE,2007,27(23):71-74.
[10]赵欢,王培红,钱瑾,等.基于模糊C-均值聚类的锅炉监控参数基准值建模[J].中国电机工程学报,2011,31(32):16-22.ZHAO Huan,WANG Peihong,QIAN Jin,et al.Modeling for target-value of boiler monitoring parameters based on fuzzy C-Means clustering algorithm[J].Proceedings of the CSEE,2011,31(32):16-22.
[11]张小桃,王培红.一种新的锅炉效率计算模型[J].电站系统工程,1999,15(4):16-17.ZHANG Xiaotao,WANG Peihong.New computing model for boiler efficiency[J].Power System Engineering,1999,15(4):16-17.
[12]DUNN J.A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters[J].Journal of Cybernetics,1973,8(3):32-57.
[13]BEZDEK J C.Pattern recognition with fuzzy objective function algorithms[M].New York:Plenum Press,1981:62-78.
[14]上海发电设备成套设计研究所.电站锅炉性能试验规程:GB 10184-88[S].北京:国家技术监督局,1989:10-11.Shanghai Power Equipment Research Institute.Performance test code for boiler:GB 10184-88[S].Beijing:State Bureau of Technical Supervision,1989:10-11.
[15]郑体宽.热力发电厂[M].北京:中国电力出版社,2008:18-20.ZHENG Tikuan.Thermal power station[M].Beijing:China Electric Power Press,2008:18-20.
[16]殷捷.大型电站锅炉性能在线监测模型研究[D].南京:东南大学,2011:61-63.YIN Jie.Research on performance monitoring model of large-scale utility boiler[D].Nanjing:Southeast University,2011:61-63.
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