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Liu, X.J., Kong, X.B., Hou, G.L. and Wang, J.H. (2013) Modeling of a 1000MW Power Plant Ultra-Supercritical Boiler System Using Fuzzy-Neural Network Methods. Energy Conversion and Management, 65, 518-527.
https://doi.org/10.1016/j.enconman.2012.07.028

has been cited by the following article:

• TITLE: Research on the Prediction of Load Regulation Capacity for Supercritical Thermal Power Unit

  AUTHORS: Yong He, Zhuo Huang, Yaohua Tang, Weimin Guo, Yuanli Cai, Haonan Jiang

  KEYWORDS: Supercritical Thermal Power Unit, Subspace Identification, Indirect Identification, Load Regulation

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.8 No.8, August 3, 2020

  ABSTRACT: Both the modeling and the load regulation capacity prediction of a supercritical power plant are investigated in this paper. Firstly, an indirect identification method based on subspace identification method is proposed. The obtained identification model is verified by the actual operation data and the dynamic characteristics of the system are well reproduced. Secondly, the model is used to predict the load regulation capacity of thermal power unit. The power, main steam pressure, main steam temperature and other parameters are simulated respectively when the unit load is going up and down. Under the actual constraints, the load regulation capacity of thermal power unit can be predicted quickly.