Optimal Placement and Sizing of PV Systems and D-STATCOMs in Medium-Voltage Distribution Networks Using the Atan-Sinc Optimization Algorithm

Keywords: Atan-Sinc Optimization Algorithm, Photovoltaic plants, Distribution Static Compensators, Master-Slave Optimization

Abstract

The integration of photovoltaic (PV) systems and D-STATCOMs in medium-voltage distribution networks offers significant potential for enhancing voltage profiles, minimizing power losses, and improving overall system efficiency. This paper introduces the \textit{Atan-Sinc Optimization Algorithm} (ASOA), a novel metaheuristic technique specifically designed for addressing the optimal placement and sizing of PV systems and D-STATCOMs. The ASOA, proposed for the first time in this study, leverages the unique mathematical properties of the $\atan\left(x\right)$ and $\sinc\left(x\right)$ functions to explore and exploit the solution space efficiently. To validate the effectiveness of the ASOA, a comprehensive comparative analysis was conducted against two state-of-the-art methods: the vortex search algorithm (VSA) and the sine cosine algorithm (SCA). Results demonstrate that the ASOA outperforms these benchmark methods in terms of solution quality, convergence rate, and robustness. An economic metric confirms the superior capability of the ASOA in solving this complex optimization problem (reductions of about $35.5429\%$ and $35.6707\%$ for the 33- and 69-bus grids, respectively). This research highlights the ASOA as a promising tool for enhancing the planning and operation of distribution networks, setting a strong foundation for future applications in power system optimization.

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Published
2025-07-28
How to Cite
Montoya Giraldo, O. D., Grisales Noreña, L. F., & Bolaños, R. I. (2025). Optimal Placement and Sizing of PV Systems and D-STATCOMs in Medium-Voltage Distribution Networks Using the Atan-Sinc Optimization Algorithm. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-2348
Section
Research Articles