Hilbert Curve Repositioning Algorithm for Reconfiguration of Partially Shaded PV Array

Partial shading (PS) poses a significant challenge for photovoltaic (PV) systems, leading to reduced energy output and multiple peaks in the Power-Voltage (P-V) curve. Shaded cells produce less power, impacting overall array output and potentially causing hotspots. This paper introduces the Hilbert Curve Repositioning Algorithm (HCRA), a static PV reconfiguration method designed to robustly address the adverse effects of PS on PV arrays. HCRA emphasizes optimal shade dispersion under PS conditions and enhances energy utilization through strategic module placements. Simulations in MATLAB Simulink, covering various shading patterns, evaluate metrics such as global maximum power point, mismatch loss, fill factor, and power loss to validate efficacy. Results illustrate increased power output, reduced power loss, and minimized mismatch loss, outperforming existing PV reconfiguration techniques. HCRA effectively mitigates the negative impacts of PS while demonstrating scalability and efficacy, emerging as a promising algorithm for enhancing output and reducing costs in PV plants.