Power Optimization

Optimization of Backtracking Parameters in the Cal Poly Goldtree Solar Farm

The 4.5 MW Cal Poly Goldtree Solar Farm is the largest solar array in the CSU system. It generates up to 25% of the university’s yearly power. However, it currently faces an issue of shading. During some mornings and evenings, solar panels will cast shade on other panels which will decimate the performance of any module that is shaded. Backtracking is a technique that combats this by sub-optimally tracking the sun until the sun is high enough in the sky so that no shade will be cast on any modules. Due to the uneven terrain of the solar farm, this is a difficult technique to perfect. The goal of this project is to investigate and identify the areas where there is significant power loss due to row-to-row shading, then adjust the current backtracking algorithm such that performance is improved.

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