Correlation Analysis and Modeling of Main Parameters in Thermal Power Unit under FCB Conditions

Shi He Chen; Jia Luo; Xi Zhang; Wei Jian Huang; Xiao Qiang Wen; Ling Fang Sun

doi:10.4028/www.scientific.net/AMM.494-495.1611

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495Correlation Analysis and Modeling of Main...

Correlation Analysis and Modeling of Main Parameters in Thermal Power Unit under FCB Conditions

Abstract:

Fast Cut Back condition is one of the most severe dynamic transient operation conditions for coal-fired power units. Here has carried out the study on the main parameters correlation analysis and system modeling of No. 2 unit from HaiFang thermal power plant. The prediction results show the model built here is reasonable and feasible. Besides, from the process of correlation analysis, it is obvious that Pearson correlation coefficient could be used for compression of information features in order to reduce the dimension of the model.

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Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

1611-1614

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.1611

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Online since:

February 2014

Authors:

Shi He Chen, Jia Luo, Xi Zhang, Wei Jian Huang, Xiao Qiang Wen, Ling Fang Sun*

Keywords:

Correlation Analysis, Fast Cut Back, Partial Least Square, Pearson Correlation Coefficient

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* - Corresponding Author

References

[1] Wang Weihong, Zhang Xuhang, Yang Zenghui, et al. RTDS Black-start Simulation for Shanghai 500 kV Power Grid Based on Fast Cut Back [J]. East China Electric Power, 2011, 39(6): 0900-0903.

Google Scholar

[2] Wang Lidi, Lin Miaodan. Discussion on the Rationality of 100% Capacity of Steam Turbine Bypass Under FCB Conditions [J]. Electric Power Technology, 2010, 19(11-12), 39-43.

Google Scholar

[3] Wang Xuegen, Teng Weiming, Shu Chang. Realization of FCB in the 600 MW supercritical units by control system retrofit [J]. Electric Power, 2009, 42(10): 73-76.

Google Scholar

[4] Song Jingdong, Wen Xiaoqiang. Study of the fouling characteristics of arc pipe based on principal component analysis and partial least squares [J]. Advanced Material Research, 2012, Vols. 443-444, pp.731-737.

DOI: 10.4028/www.scientific.net/amr.443-444.731

Google Scholar

[5] Ouyang Aiguo, Zhao Zhanyou. Application of visible and near infrared spectroscopy to identification of lubricant oil using PLS-DA methods [J]. Journal of Chinese Agricultural Mechanization, 2013, 34(1): 181~185.

Google Scholar