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Load optimal distribution of deep peak regulation for thermal power units based on clustering
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Yanyan REN1, Huilin CAO2, Haiyan JIANG1, Liang YU1, Caibao HU1, Xiaotong GUO1, Huaichun ZHOU1
Thermal Power Generation | 2023, 52(9) : 48 - 57
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Thermal Power Generation | 2023, 52(9): 48-57
• Clean, efficient and flexible coal-fired power technology •
Load optimal distribution of deep peak regulation for thermal power units based on clustering
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Yanyan REN1, Huilin CAO2, Haiyan JIANG1, Liang YU1, Caibao HU1, Xiaotong GUO1, Huaichun ZHOU1
Affiliations
  • 1.School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
  • 2.State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China
Published: 2023-09-25 doi: 10.19666/j.rlfd.202306096
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In order to provide methodological guidance for the load optimal distribution of thermal power units under the condition of deep peak regulation, the objective functions of optimal load distribution under medium-high load and low load are established respectively, and the load optimal distribution under different conditions is studied. The k-means clustering algorithm is used to process the data and the coal consumption characteristic curves of two units under medium-high load and low load are fitted. The objective function of load distribution is established to compare the coal consumption before and after optimization under static load distribution, incremental load distribution and continuous variable load conditions. After setting the total load instructions of the two units under the condition of deep peak shaving, the coal consumption of the two schemes of load average distribution and optimal distribution is compared. The results show that the clustering-based objective function models of optimal distribution under medium-high load and low load established by the coal consumption characteristic curve are reliable, whose optimization effect is remarkable under the condition of deep peak regulation. The k-means clustering algorithm can be used to optimize the load distribution of thermal power units and provide reference for the study of load optimal distribution under the condition of deep peak regulation of thermal power units.

deep peak regulation  /  k-means clustering  /  load optimal distribution  /  coal consumption
Yanyan REN, Huilin CAO, Haiyan JIANG, Liang YU, Caibao HU, Xiaotong GUO, Huaichun ZHOU. Load optimal distribution of deep peak regulation for thermal power units based on clustering[J]. Thermal Power Generation, 2023 , 52 (9) : 48 -57 . DOI: 10.19666/j.rlfd.202306096
Funding
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  • Fundamental Research Funds for the Central Universities(2020QN09)
  • Ministry of Education Industry-University Cooperation Collaborative Education Project(220605308075918)
Appendix
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Year 2023 volume 52 Issue 9
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Article Info
doi: 10.19666/j.rlfd.202306096
  • Receive Date：2023-06-01
  • Online Date：2026-01-26
  • Published：2023-09-25
Article Data
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History
  • Received：2023-06-01
Funding
Fundamental Research Funds for the Central Universities(2020QN09)
Ministry of Education Industry-University Cooperation Collaborative Education Project(220605308075918)
Affiliations
    1.School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
    2.State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202306096
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