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To address this issue, a linear programming approach has been proposed to optimize PV slope leveling. This method involves dividing the field into blocks and grids and using hyperbolic paraboloids to simulate the design surface. By programming in MATLAB, the globally optimal solution for PV slope leveling can be calculated.
Conclusions PV slope leveling is characterized by its vast area, extremely undulating terrain, slope ratio constraint, and allowance for localized unevenness. However, there is currently a lack of an optimization design method specifically tailored for the slope leveling of ground-mounted centralized PV sites.
Each designated surface for PV slope leveling is referred to as a block. The dimensions of these blocks are typically determined by the PV matrix or site conditions. Smaller block sizes result in a more accurate fit between the design surface and the original terrain, but this also increases the complexity of the construction process.
However, there is currently a lack of an optimization design method specifically tailored for the slope leveling of ground-mounted centralized PV sites. To address this issue, we propose a linear optimization methodology that considers the unique characteristics of these projects.
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