Layout Optimization for Photovoltaic Panels in Solar Power Plants via a MINLP Approach

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Abstract

Photovoltaic (PV) technology is one of the most popular means of renewable generation, whose applications range from commercial and residential buildings to industrial facilities and grid infrastructures. The problem of determining a suitable layout for the PV arrays, on a given deployment region, is generally non-trivial and has a crucial importance in the planning phase of solar plants design and development. In this paper, we provide a mixed integer non-linear programming formulation of the PV arrays’ layout problem. First, we define the astronomical and geometrical models, considering crucial factors such as self-shadowing and irradiance variability, depending on the geographical position of the solar plant and yearly time window. Subsequently, we formalize the mathematical optimization problem, whose constraints’ set is characterized by non-convexities. In order to propose a computationally tractable approach, we provide a tight parametrized convex relaxation. The resulting optimization resolution procedure is tested numerically, using realistic data, and benchmarked against the traditional global resolution approach, showing that the proposed methodology yields near-optimal solutions in lower computational time.

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Mignoni, N., Carli, R., & Dotoli, M. (2025). Layout Optimization for Photovoltaic Panels in Solar Power Plants via a MINLP Approach. IEEE Transactions on Automation Science and Engineering, 22, 18148–18161. https://doi.org/10.1109/TASE.2023.3322786

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