Dynamic Reconstruction of Total-Cross-Tied Photovoltaic Array Based on Arrays Using an Improved Dung Beetle Algorithm

Abstract

A dynamic reconfiguration method for photovoltaic (PV) arrays based on an improved dung beetle algorithm (IDBO) to address the issue of PV array mismatch loss caused by partial shading conditions (PSCs) is proposed. To establish the output power-current (P-I) segmentation function for the total-cross-tied (TCT) PV array and the constraint function for the electrical switches, the IDBO algorithm was used to optimize both the P-I segmentation function and the electrical switch constraint function. IDBO is compared with algorithm-free reconfiguration and five other heuristic algorithms using two evaluation criteria: mismatch loss and power enhancement percentage, across six shading scenarios for 6×6 PV arrays. The irradiation distribution of PV arrays reconfigured by IDBO is also presented. The results show that IDBO effectively increases the output power of PV arrays and reduces mismatch loss. The output PV curves tend to exhibit a single peak, and the reconstruction results are superior to those obtained with the other methods.