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.