火电机组典型经济运行模式建立方法的研究
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摘要
计算机技术的迅速发展使得大量的火电机组运行记录能够保存到实时／历史数据库中,这些海量数据的背后往往蕴藏着丰富的信息,利用数据挖掘技术对这些数据进行分析和应用对机组的优化运行有着重要的意义。本文的主要研究工作集中在利用基于聚类分析的数据挖掘技术对火电机组的运行记录进行工况的划分以及模式的挖掘。
第一部分分析了数据挖掘技术在火电机组优化运行的研究现状及可行性,并介绍了单元机组运行调节的内容、基本方法。第二部分阐述了机组典型经济运行模式的总体设计思路。第三部分针对某600MW机组一个月的历史运行数据进行模式挖掘算法的数据实验,并分析了不同工况下的挖掘结果。试验结果表明,数据挖掘对机组运行模式的建立和分析具有实际的指导意义。
The rapid development of computer technology enables a large number of operating records of thermal power units saved to the real/historical database, which is rich in information. Analysis and application of these data by the light of data mining technology has an important significance on optimal operation of units. This research mainly focuses on classifying records of the operation of thermal power unit by working conditions based on the clustering analysis of data mining technology and mining the operation modes.
The first part is to analyze current status and feasibility of data mining technology in optimal operation of thermal power units, and introduce regulation, basic methods. The second part describes overall design ideas of typical economic operation mode of units. The third involves data experiment of mining algorithm on historical operating data of a 600MW unit for one month, and analysis of mining results under different conditions. These results show that data mining is significant in analyzing and building unit operation modes in practice.
第一部分分析了数据挖掘技术在火电机组优化运行的研究现状及可行性,并介绍了单元机组运行调节的内容、基本方法。第二部分阐述了机组典型经济运行模式的总体设计思路。第三部分针对某600MW机组一个月的历史运行数据进行模式挖掘算法的数据实验,并分析了不同工况下的挖掘结果。试验结果表明,数据挖掘对机组运行模式的建立和分析具有实际的指导意义。
The rapid development of computer technology enables a large number of operating records of thermal power units saved to the real/historical database, which is rich in information. Analysis and application of these data by the light of data mining technology has an important significance on optimal operation of units. This research mainly focuses on classifying records of the operation of thermal power unit by working conditions based on the clustering analysis of data mining technology and mining the operation modes.
The first part is to analyze current status and feasibility of data mining technology in optimal operation of thermal power units, and introduce regulation, basic methods. The second part describes overall design ideas of typical economic operation mode of units. The third involves data experiment of mining algorithm on historical operating data of a 600MW unit for one month, and analysis of mining results under different conditions. These results show that data mining is significant in analyzing and building unit operation modes in practice.
引文
[1]王志轩,《全国电力供需与经济运行形势分析预测报告(2009-2010年度)》[C].中国电力企业联合会,2010.1(2)：3-5
[2]罗缜,徐志明,赵晓彤.火力发电厂运行指导系统[J].电力设备,2003.4(1)：69-71
[3]Ann, W Syring, J, Heat rate improvement guidelines for existing fossil plants[J].EPRI-4554,1986,6(3):25-28
[4]李建强,牛成林,谷俊杰,刘吉臻.数据挖掘在火电厂运行参数优化目标值确定中的应用[J],华北电力大学学报,2008,35(4)07：53-56
[5]李建强,牛成林,刘吉臻.数据挖掘技术在火电厂优化运行中的应用[J].动力工程,2006,26(6)：830-835
[6]谷俊杰,王为力,李家川,孙群丽.关联规则挖掘在电站运行优化中的运用[J].电站系统工程,2009,25(1)：8-10
[7]裘国相,汪思源,王文标.数据挖掘在火电厂运行优化目标值确定中的应用[J].控制理论与应用,2006,25(3)：6-9
[8]王锋.数据挖掘在电厂锅炉管壁超温分析中的应用[J].电力信息化,2006,4(10)：76-78
[9]李为,刘歆一,郑勇锋.基于数据挖掘技术的电厂设备状态检修系统[J].现代电力,2007,24(6)：40-43
[10]郭庆琳,郑玲.基于模糊粗糙集数据挖掘的汽轮机组故障诊断研究[J].中国电机工程学报,2007,27(8)：81-87
[11]鲍文,于达仁,王伟,徐志强.基于关联规则的火电厂传感器故障检测[J].中国电机工程学报,2003,23(12)：170-174
[12]李秋丹,迟忠先,王大公.基于数据挖掘技术的负荷预测模型[J].大连理工大学学报,2003,43(6)：845-848
[13]左幸,马光文,刘志强,王静,张娜.基子数据挖掘的专家系统在电厂负荷分配中的应用[J].中国农村水利水电,2006,12(1)：77-79
[14]卢勇,徐向东.数据挖掘与锅炉负荷多模型自适应控制研究[J].电站系统工程,2003,19(4)：49-51
[15]朱红路,常太华,田亮.主元分析理论在火电厂过程监测中的应用[J].东北电力技术,2007,7(4)：15-17
[16]付忠广,田志友,靳涛,戈志华,卞双.关联规则数据挖掘及其在电厂DCS数据分析中的应用[J].发电设备,2004,4(9)：53-55
[17]卢勇,徐向东,陈明.数据挖掘技术在热电厂过程控制与优化中的应用研究[J].电站系 统工程,2003,19(2)：48-50
[18]黄新元.电站锅炉运行与燃烧调整[M].北京：中国电力出版社,2003：21-48,50-64
[19]路洪伟.300MW火电机组真空系统分析及优化运行措施[J].中国高新技术企业,2007,31(9)：228
[20]徐卫东.循环水温对机组经济性影响的分析[J].浙江造纸,2006,14(3)：59-60
[21]闫桂焕,顾昌,郑李坤.300MW机组循环水系统优化运行的研究[J].汽轮机技术,2002,44(6)：345-347
[22]刘军祥.机组循环水变频节能优化系统的应用研究[J].高压变频器,2008,26(4)：33-35
[23]李素芬,沈胜强,郭建民.机组经济运行的负荷优化分配方法研究[J].热科学与技术,2004,3(4)：293-296
[24]马传利,张树成,崔巨擘,史进渊,杨宇,严宏强.大型火电机组优化运行技术的研究[J].动力工程,2002,22(4)：1875-1878
[25]易金萍,周乃君,王强,邓胜祥.热电厂锅炉机组的运行优化研究[J].湖南电力,2002,22(4)：15-16
[26]李丽.热电厂的优化运行管理[J].发电设备,2002,15(2)：37-40
[27]姚尧.锅炉运行优化方法及应用[J].华北电力技术,2008,23(1)：27-31
[28]蔡杰进,马晓茜.基于遗传算法的火电机组运行优化[J].华南理工大学学报,2006,34(4)：101-105
[29]刘永霞,安荣芝.火力发电机组运行优化系统的开发与应用[J].河北电力技术,2002,21(4)：52-54
[30]王毅,马晓茜,廖艳芬,蔡杰进.电厂优化运行辅助决策系统的设计与实现[J].中国电力,2006,39(1)：89-92
[31]闵正佳,罗大庸,张航.活力发电机组运行优化系统的研究与设计[J].计算机测量与控制,2006,14(6)：757-761
[32]Zhou Hao,Qian Xin-ping,Cen Ke-fa.Optimizing pulverized coal combustion perfoumance based on ANN and GA[J].Fuel Processing Technology , 2003,85(1/2):113-124
[33]Busacca P G, Marseguerra M,Zio E.Multiobjective optimization by genetic algorithms application to safety system[J].Reliability Engineering and System Safety, 2001,72(1):59-74
[34]Wojcik Waldemar,Golec Tomasz,Koryra Andrzej.Controller for pulverized coal burner[J].Proceedings of SPIE,2004,5576(38):381-386
[35]Lu Jian-hong,Chen Lai-jiu,Shen Jong.A study of control strategy for th bin system with tube mill in the coal fired power station[J].Applied Thermal Engineering, 2002,41 (2):215-224
[36]Subramanyan Karthik,Diwekar Urmila M,Goyal Amit.Multi-objective optimization for hybrid fuel cells power system under uncertainty[J]Journal of Power Sources, 2004,132(1-2):99-112
[37]Mortensen Jan H, Anderscn Palle.Optimization of boiler control to improve the load-following capability of power-plant units[J].Control Engineering Practice, 1998,6(12):1531-1539
[38]Jian-qiang Li,Ji-zhen Liu,Cheng-lin Niu,Luan-ying Zhang.The Research and Application of Data Mining in Power Plant Operation Optimization[J].Prcoceedings of the Fourth International Conference on Machine Learing and Cybernetics, 2005,22(8):1642-1647
[39]Ren HaoRen,Li Wei.The analyze of operation index for the power unit under different loads[J].Proceedings of the CSEE,1999,19(9):50-52
[40]Shun-hsien Huang,Bin-Kwie Chen,Wen-Chen Chu,Wei-Jen Lee.Optimal Operation Strategy for Cogeneration Power Plants[J].IEEE Trans. On Power System, 2004,78(17):2057-2062
[41]K. Moslehi,M. Khadem,R. Bemal,and GHemandez.Optimization of multiplant cogeneration system operation including electric and steam networks [J]. IEEE Trans. on Power System,1991,6(2):484-490
[42]Chen-lin Niu,Xi-ning Yu,Jian-Qiang Li,Wei Sun.The Application of Operation Optimization Decision Support System Based on Data Mining in Power Plant[J].Proceedings of the Fourth International Conference on Machine Learing and Cybernetics,2005,36(8):1830-1834
[43]Xinfu Ye,Weiyue Xu,Weida Bao.Optimal Management for Operation of Domestic 300MW[J].East China Electric Power,2000,28(2):5-7
[44]K Y Lee.Multi-objective Optimal Power Plant Operation Through Coordinate Control with Pressure Set Point Scheduling[J], IEEE Trans. On Energy Conversion, 2001,16(2):115-122
[45]S. Ashok and R. Banerjee.Optimal Operation of Industrial Cogeneration for Load Management[J].IEEE. Trans. On Power System,2003,18(2):931-937
[46]胡可云,田凤占.数据挖掘理论与应用[M].北京：清华大学出版社,2008：13-48
[47]朱玉全,杨鹤标,孙蕾.数据挖掘技术[M].北京：东南大学出版社,2006：32-57
[48]王杰,姜国强.新的基于最近邻聚类的属性离散化算法[J].计算机工程与应用,2009,45(24)：40-42
[2]罗缜,徐志明,赵晓彤.火力发电厂运行指导系统[J].电力设备,2003.4(1)：69-71
[3]Ann, W Syring, J, Heat rate improvement guidelines for existing fossil plants[J].EPRI-4554,1986,6(3):25-28
[4]李建强,牛成林,谷俊杰,刘吉臻.数据挖掘在火电厂运行参数优化目标值确定中的应用[J],华北电力大学学报,2008,35(4)07：53-56
[5]李建强,牛成林,刘吉臻.数据挖掘技术在火电厂优化运行中的应用[J].动力工程,2006,26(6)：830-835
[6]谷俊杰,王为力,李家川,孙群丽.关联规则挖掘在电站运行优化中的运用[J].电站系统工程,2009,25(1)：8-10
[7]裘国相,汪思源,王文标.数据挖掘在火电厂运行优化目标值确定中的应用[J].控制理论与应用,2006,25(3)：6-9
[8]王锋.数据挖掘在电厂锅炉管壁超温分析中的应用[J].电力信息化,2006,4(10)：76-78
[9]李为,刘歆一,郑勇锋.基于数据挖掘技术的电厂设备状态检修系统[J].现代电力,2007,24(6)：40-43
[10]郭庆琳,郑玲.基于模糊粗糙集数据挖掘的汽轮机组故障诊断研究[J].中国电机工程学报,2007,27(8)：81-87
[11]鲍文,于达仁,王伟,徐志强.基于关联规则的火电厂传感器故障检测[J].中国电机工程学报,2003,23(12)：170-174
[12]李秋丹,迟忠先,王大公.基于数据挖掘技术的负荷预测模型[J].大连理工大学学报,2003,43(6)：845-848
[13]左幸,马光文,刘志强,王静,张娜.基子数据挖掘的专家系统在电厂负荷分配中的应用[J].中国农村水利水电,2006,12(1)：77-79
[14]卢勇,徐向东.数据挖掘与锅炉负荷多模型自适应控制研究[J].电站系统工程,2003,19(4)：49-51
[15]朱红路,常太华,田亮.主元分析理论在火电厂过程监测中的应用[J].东北电力技术,2007,7(4)：15-17
[16]付忠广,田志友,靳涛,戈志华,卞双.关联规则数据挖掘及其在电厂DCS数据分析中的应用[J].发电设备,2004,4(9)：53-55
[17]卢勇,徐向东,陈明.数据挖掘技术在热电厂过程控制与优化中的应用研究[J].电站系 统工程,2003,19(2)：48-50
[18]黄新元.电站锅炉运行与燃烧调整[M].北京：中国电力出版社,2003：21-48,50-64
[19]路洪伟.300MW火电机组真空系统分析及优化运行措施[J].中国高新技术企业,2007,31(9)：228
[20]徐卫东.循环水温对机组经济性影响的分析[J].浙江造纸,2006,14(3)：59-60
[21]闫桂焕,顾昌,郑李坤.300MW机组循环水系统优化运行的研究[J].汽轮机技术,2002,44(6)：345-347
[22]刘军祥.机组循环水变频节能优化系统的应用研究[J].高压变频器,2008,26(4)：33-35
[23]李素芬,沈胜强,郭建民.机组经济运行的负荷优化分配方法研究[J].热科学与技术,2004,3(4)：293-296
[24]马传利,张树成,崔巨擘,史进渊,杨宇,严宏强.大型火电机组优化运行技术的研究[J].动力工程,2002,22(4)：1875-1878
[25]易金萍,周乃君,王强,邓胜祥.热电厂锅炉机组的运行优化研究[J].湖南电力,2002,22(4)：15-16
[26]李丽.热电厂的优化运行管理[J].发电设备,2002,15(2)：37-40
[27]姚尧.锅炉运行优化方法及应用[J].华北电力技术,2008,23(1)：27-31
[28]蔡杰进,马晓茜.基于遗传算法的火电机组运行优化[J].华南理工大学学报,2006,34(4)：101-105
[29]刘永霞,安荣芝.火力发电机组运行优化系统的开发与应用[J].河北电力技术,2002,21(4)：52-54
[30]王毅,马晓茜,廖艳芬,蔡杰进.电厂优化运行辅助决策系统的设计与实现[J].中国电力,2006,39(1)：89-92
[31]闵正佳,罗大庸,张航.活力发电机组运行优化系统的研究与设计[J].计算机测量与控制,2006,14(6)：757-761
[32]Zhou Hao,Qian Xin-ping,Cen Ke-fa.Optimizing pulverized coal combustion perfoumance based on ANN and GA[J].Fuel Processing Technology , 2003,85(1/2):113-124
[33]Busacca P G, Marseguerra M,Zio E.Multiobjective optimization by genetic algorithms application to safety system[J].Reliability Engineering and System Safety, 2001,72(1):59-74
[34]Wojcik Waldemar,Golec Tomasz,Koryra Andrzej.Controller for pulverized coal burner[J].Proceedings of SPIE,2004,5576(38):381-386
[35]Lu Jian-hong,Chen Lai-jiu,Shen Jong.A study of control strategy for th bin system with tube mill in the coal fired power station[J].Applied Thermal Engineering, 2002,41 (2):215-224
[36]Subramanyan Karthik,Diwekar Urmila M,Goyal Amit.Multi-objective optimization for hybrid fuel cells power system under uncertainty[J]Journal of Power Sources, 2004,132(1-2):99-112
[37]Mortensen Jan H, Anderscn Palle.Optimization of boiler control to improve the load-following capability of power-plant units[J].Control Engineering Practice, 1998,6(12):1531-1539
[38]Jian-qiang Li,Ji-zhen Liu,Cheng-lin Niu,Luan-ying Zhang.The Research and Application of Data Mining in Power Plant Operation Optimization[J].Prcoceedings of the Fourth International Conference on Machine Learing and Cybernetics, 2005,22(8):1642-1647
[39]Ren HaoRen,Li Wei.The analyze of operation index for the power unit under different loads[J].Proceedings of the CSEE,1999,19(9):50-52
[40]Shun-hsien Huang,Bin-Kwie Chen,Wen-Chen Chu,Wei-Jen Lee.Optimal Operation Strategy for Cogeneration Power Plants[J].IEEE Trans. On Power System, 2004,78(17):2057-2062
[41]K. Moslehi,M. Khadem,R. Bemal,and GHemandez.Optimization of multiplant cogeneration system operation including electric and steam networks [J]. IEEE Trans. on Power System,1991,6(2):484-490
[42]Chen-lin Niu,Xi-ning Yu,Jian-Qiang Li,Wei Sun.The Application of Operation Optimization Decision Support System Based on Data Mining in Power Plant[J].Proceedings of the Fourth International Conference on Machine Learing and Cybernetics,2005,36(8):1830-1834
[43]Xinfu Ye,Weiyue Xu,Weida Bao.Optimal Management for Operation of Domestic 300MW[J].East China Electric Power,2000,28(2):5-7
[44]K Y Lee.Multi-objective Optimal Power Plant Operation Through Coordinate Control with Pressure Set Point Scheduling[J], IEEE Trans. On Energy Conversion, 2001,16(2):115-122
[45]S. Ashok and R. Banerjee.Optimal Operation of Industrial Cogeneration for Load Management[J].IEEE. Trans. On Power System,2003,18(2):931-937
[46]胡可云,田凤占.数据挖掘理论与应用[M].北京：清华大学出版社,2008：13-48
[47]朱玉全,杨鹤标,孙蕾.数据挖掘技术[M].北京：东南大学出版社,2006：32-57
[48]王杰,姜国强.新的基于最近邻聚类的属性离散化算法[J].计算机工程与应用,2009,45(24)：40-42