Flat-topography tower-type photo-thermal solar power generation field heliostat optimization arrangement method

Abstract

The invention provides a flat-topography tower-type photo-thermal solar power generation field heliostat optimization arrangement method, and belongs to the technical field of heliostat arrangement. The method comprises obtaining original materials, comprising geographic information and solar resource information, of a tower-type photo-thermal solar power generation heliostat field, determining influence factors, which influence heliostat optimization arrangement, of an arrangement angle [alpha], the offset spacing ratio I and the longitudinal spacing ratio j and reasonable value ranges of the influence factors, building orthogonal test engineering and calculating corresponding electric quantity according to the determined influence factors and the determined reasonable value ranges, performing a corresponding analysis on an obtained orthogonal test result to determine the best values of the influence factors, and obtaining the best heliostat scheme through integration with the best values of the influence factors. The method solves the technical problem, i.e., how to rapidly find a reasonable relative position relationship of heliostats; and, through selections of the specific parameters, a lot of workload can be saved, and the optimal scheme is obtained rapidly and accurately.

Description

technical field [0001] The invention relates to the technical field of heliostat arrangement, in particular to a method for optimal arrangement of heliostats in a tower-type photothermal solar power plant with flat terrain. Background technique [0002] The optimal arrangement of heliostats refers to optimizing the arrangement of a predetermined range and a predetermined number of heliostats, so that the influence of shadows between the heliostats is minimized and the solar energy acquisition is maximized. This realization process can be realized by enumeration, that is, calculating the possibility of various combinations; it can also be realized by an experimental method under appropriate manual analysis, that is, by means of mathematical statistical analysis and engineering experiment methods. The first method is relatively simple, but it cannot be realized by manual methods. It can only be realized by computer operations based on genetic algorithms, which requires a lot o...

AI Technical Summary

Problems solved by technology

The main disadvantage of the existing technology is that the whole process can only be realized by computer calculation, which not only requires considerable cost, is not suitable for wide application, but also consumes a lot of time

It is even more impossible to realize the possibility of all combinations manually.

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