| Issue |
MATEC Web Conf.
Volume 319, 2020
2020 8th Asia Conference on Mechanical and Materials Engineering (ACMME 2020)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 6 | |
| Section | Mechanical Design and Optimization | |
| DOI | https://doi.org/10.1051/matecconf/202031901003 | |
| Published online | 10 September 2020 | |
Adaptive Modeling and Operation Optimization for the Cold End System of Thermal Power Units based on Mechanism and Statistical Analysis
1
key laboratory of energy thermal conversion and its process measurement and control, ministry of education, Southeast University, Nanjing 210096, China
2
Zhejiang zheneng taizhou second power generation co., LTD., Taizhou 318000, China
3
Zhejiang zheneng technology research institute co., LTD., Hangzhou 310026, China
* Corresponding author: fqsi@seu.edu.cn
The operation optimization for the cold end system is an efficient means to improve the economy of steam turbine units. To compensate for the inadequacy of the traditional mechanism analysis utilized in obtaining actual operating characteristics of the cold end system, the prediction model of the exhaust pressure was established on the basis of mechanism analysis combined with data from the operation process. An online adaptive updating strategy was introduced to guarantee the modeling accuracy. A discrete model of the cooling tower outlet water temperature (CTOWT) was constructed based on the operation data partitioned into different groups according to the pump operating mode change (POMC). Combining the above two models, the coupled model of the cold end system was therefore obtained. A model-based operation optimization system was then implemented for the cold end system in a coal-fired power plant. Experimental trials authenticate that the optimization suggestions provided by the system can effectively enhance the benefit of power generation.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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