A Flow Feedforward-Feedback Control Method for Absorber of Tower Photothermal Power Plant

Abstract

A flow feed-forward-feedback control method for a heat sink in a tower-type photothermal power station, in which the feed-forward control obtains the flow adjustment value of the heat sink under cloud disturbance through a neural network prediction model, which can quickly respond to drastic changes in solar radiation intensity; feedback The control uses PID to fine-tune the flow rate of the heat absorber, so that the outlet temperature of the heat absorber can be stabilized at the set value. By combining the neural network predictive feed-forward control and PID feedback control of the flow of the heat absorber, the present invention can realize the rapid adjustment of the flow of the heat absorber under the condition of solar radiation fluctuation, and ensure the stability of the outlet temperature of the heat absorber, thereby reducing the light rejection rate and improving System efficiency of a tower solar thermal power plant.

Description

technical field [0001] The invention belongs to the technical field of solar thermal power generation and automatic control, and particularly relates to a flow feedforward-feedback control method for a heat absorber of a tower-type photothermal power station. Background technique [0002] The solar thermal power station comes with a large-scale, cheap, safe and environmentally friendly energy storage system, which can significantly reduce the demand for energy storage in the future power system. In the whole life cycle, the carbon emission per unit of electricity of a solar thermal power station is only 1 / 6 of that of photovoltaics. In actual operation, the clouds above the mirror field of the CSP station will cause DNI fluctuations. When the fluctuations are severe, the heat absorber will be shut down due to severe cold and heat shocks, which will lead to a high light rejection rate and limit the The photoelectric efficiency of the photothermal power station is improved. ...

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Problems solved by technology

[0003] In order to overcome the shortcomings of the above-mentioned prior art and solve the problem that there is still a lack of a fast and reliable control method for the flow rate of the heat absorber in cloudy weather, the purpose of the present invention is to provide a feedforward-feedback control method for the flow rate of the heat absorber of the tower photothermal power station , through the combination of neural network prediction and flow feed-forward-feedback control, the present invention can realize the rapid adjustment of the absorber flow rate under the condition of DNI fluctuations, ensure the stability of the outlet temperature, thereby reducing the light rejection rate and improving the efficiency of the tower solar thermal power station. system efficiency

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