Data-driven Modeling and Application in Operation Optimization of Coal-fired Power Generation

被引：0
|
作者：
Wei, Qing [1 ]
Li, Jia-Xiang [2 ]
Wang, Ning-Ling [1 ]
机构：
[1] North China Elect Power Univ, Energy Power & Mech Engn, Beijing, Peoples R China
[2] Baoding Elect Power Voc & Tech, Beijing, Peoples R China
来源：
2016 INTERNATIONAL CONFERENCE ON MECHANICS DESIGN, MANUFACTURING AND AUTOMATION (MDM 2016) | 2016年
关键词：
Data mining; Modeling; Operation optimization; Coal-fired power units;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
It is significant for the operation optimization to build an accurate and reliable coal rate model of coal-fired power units corresponding to specific operation conditions and working boundaries. A hybrid modeling based on thermodynamic theory and fuzzy rough set (FRS) method was introduced to select the input variables and preprocess the large amount of practical operation data; the coal rate model was built to illustrate the energy-consumption behavior of power units. The realizable optimal benchmark was determined with revolutionary algorithm. The case study and validation result show that the resultant optimum state is effective for operation optimization and coal rate reduction of large coal-fired power units.
引用
收藏
页码：146 / 151
页数：6
相关论文
共 50 条
  • [1] Data-driven Operating Monitoring for Coal-fired Power Generation Equipment: The State of the Art and Challenge
    Zhao C.-H.
    Hu Y.-Y.
    Zheng J.-L.
    Chen J.-H.
    Zidonghua Xuebao/Acta Automatica Sinica, 2022, 48 (11): : 2611 - 2633
  • [2] Data-Driven Modeling for the Prediction of Stack Gas Concentration in a Coal-Fired Power Plant in Turkiye
    Mohammadi, Mandana
    Saloglu, Didem
    Dertli, Halil
    Mohammadi, Mitra
    Ghaffari-Moghaddam, Mansour
    WATER AIR AND SOIL POLLUTION, 2024, 235 (05):
  • [3] Thermoeconomic operation optimization of a coal-fired power plant
    Xiong, Jie
    Zhao, Haibo
    Zhang, Chao
    Zheng, Chuguang
    Luh, Peter B.
    ENERGY, 2012, 42 (01) : 486 - 496
  • [4] Data-driven fault diagnosis based on coal-fired power plant operating data
    Hongjun Choi
    Chang-Wan Kim
    Daeil Kwon
    Journal of Mechanical Science and Technology, 2020, 34 : 3931 - 3936
  • [5] Data-driven fault diagnosis based on coal-fired power plant operating data
    Choi, Hongjun
    Kim, Chang-Wan
    Kwon, Daeil
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2020, 34 (10) : 3931 - 3936
  • [6] Data-driven dynamic energy consumption model for coal-fired power units
    Wang Wei
    Chang Hao
    Wang Baoyu
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 7820 - 7825
  • [7] NOx emission reduction of coal-fired power plants through data-driven model and particle swarm optimization
    Abebe, Misganaw
    Seo, Jin
    Kang, Young-Jin
    Choi, Hyunho
    Noh, Yoojeong
    ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, 2024, 43 (03)
  • [8] A Data-Driven Method to Monitor Carbon Dioxide Emissions of Coal-Fired Power Plants
    Zhou, Shangli
    He, Hengjing
    Zhang, Leping
    Zhao, Wei
    Wang, Fei
    ENERGIES, 2023, 16 (04)
  • [9] Data Mining-based Operation Optimization of Large Coal-fired Power Plants
    Wang, Ningling
    Zhang, Yong
    Zhang, Ting
    Yang, Yongping
    CONFERENCE ON MODELING, IDENTIFICATION AND CONTROL, 2012, 3 : 607 - 612
  • [10] Modeling and Application of Coal Pulverizing System for Coal-fired Power Plant
    Yu, Tong
    Yuan, Jingqi
    RESOURCES AND SUSTAINABLE DEVELOPMENT, PTS 1-4, 2013, 734-737 : 2587 - 2591
12345