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.
Highlights
Due to the different distribution of power production, the power supply and consumption in a region cannot always keep balance [1]
An indirect identification method based on subspace identification method is proposed
We propose to combine the load regulation of the unit with the optimization of the controller parameters of the coordinated control system
Summary
Due to the different distribution of power production, the power supply and consumption in a region cannot always keep balance [1]. In order to ensure safe operation of the whole power grid system in a region and improve its resilience in case of accidents, it is necessary to accurately master the power generation load regulation capacity to implement the refined unit optimal scheduling. There are many works on the dynamic characteristics of supercritical units [2]-[9], the available models are mainly suitable for power plant simulators, which are usually nonlinear and too complex to be directly used to the control system design and load prediction. This paper deals with the modelling of supercritical thermal power system and the regulation of unit load.
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