Ant colony site selection method and device for macroscopic site selection of clean energy base
A clean energy and base technology, applied in the field of resource and environment management, can solve the problem of low spatial positioning accuracy, improve search breadth and convergence efficiency, assist clean energy base planning, and solve the effect of low positioning accuracy
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Embodiment 1
[0043] Embodiment 1 of the present application provides an ant colony site selection method for macro site selection of clean energy bases, such as figure 1 shown, including:
[0044] Step 110, select clean energy bases to be located, and use the technological development amount of each clean energy base to be selected as a pixel to construct a grid layer matrix;
[0045] For clean energy bases such as wind power and photovoltaics, due to the relatively low power generation energy density of their resources, large bases often need to occupy hundreds or even thousands of square kilometers of land. Areas that maintain spatial connectivity, that is, connected pixels in raster data (four pixels above, below, left, and right of a single pixel are regarded as spatially connected pixels);
[0046]This application selects the spatial scope of the priority development area in the existing site selection results as the clean energy site selection base, and uses the technological develo...
Embodiment 2
[0072] Embodiment 2 of the present application provides an ant colony site selection device for macroscopic site selection of clean energy bases, including: a grid layer matrix module, used to select clean energy bases to be sited, and each clean energy site to be sited The amount of technical development of the base is used as a pixel to construct a raster layer matrix;
[0073] The ant colony algorithm initialization module is used to initialize the pheromone concentration of each pixel in the raster layer matrix and the starting pixel of each ant in the ant colony;
[0074] The elite ant search module is used to start from the initial pixel of each ant in the ant colony according to the total installed capacity requirements and optimization goals, and use the ant colony algorithm to find the sum of the output capabilities of the ant paths to meet the total installed capacity requirements and optimization goals elite ants;
[0075] The optimal location result selection modu...
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