Heliostat field optimization scheduling control method for solar tower type photo-thermal power station

Abstract

The invention discloses a heliostat field optimization scheduling control method for a solar tower type photo-thermal power station. The method comprises the following steps: establishing a frameworkof a solar tower type photo-thermal power station model; establishing a modeling process of heliostat field condensation and optimal scheduling control of a solar tower type photo-thermal power station; establishing a mathematical model of a spliced reflecting surface; establishing a specular reflection point and a sunlight cone model; establishing a direction and position model of a main incidentlight; utilizing a coordinate transformation method to establish a direction and position model of reflected light; establishing a heliostat sun tracking motion model, counting the number of light rays at different drop point positions, and calculating energy flux density distribution; establishing a tracking error model of the heliostat, and simulating an energy flux density distribution condition when a tracking error exists; establishing an optimal scheduling control model of a heliostat field; solving by using a genetic algorithm to obtain an optimized scheduling control strategy. the method can accurately simulate heliostat field condensation characteristics and energy flux density distribution on the surface of a heat absorber, and can also homogenize the energy flux density on thesurface of the heat absorber.

Description

technical field [0001] The invention relates to a modeling method for heliostat field concentrating and optimal scheduling control of a solar tower type photothermal power station. Background technique [0002] Solar power generation has the characteristics of intermittent, fluctuating and random. The heliostat field focuses the solar radiation energy to the center of the heat absorber, which can easily cause high-temperature damage to the heat absorber or pyrolysis of the internal heat transfer medium, which brings new opportunities for the safe and stable operation of solar tower photothermal power plants. challenge. Study the modeling method of concentrating and optimal scheduling control of heliostat field in solar tower solar thermal power station, and establish an efficient and reliable optimal scheduling control model of heliostat field, which is of great significance for the efficient, stable and safe operation of solar tower solar thermal power station Significanc...

AI Technical Summary

Problems solved by technology

[0004] At present, in tower-type solar thermal power generation technology, the current research focus is still on the collection efficiency of solar concentrating systems, high-efficiency heat storage technology, and storage and transmission technology of high-temperature heat transfer fluids. However, the research on the optimal scheduling control of solar mirror field has become a technical bottleneck in the tower solar power plant industry, restricting its large-scale development

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