Dynamic Reconfiguration Method of Photovoltaic Array Based on Improved HPSO Combined with Coefficient of Variation

In order to address the issue of power loss resulting from partial shadow and enhance efficiency photovoltaic generation, array reconfiguration technology is being increasingly utilized in generation systems. This paper proposes a method based on improved hybrid particle swarm optimization (HPSO) for TCT (total-cross-tied) structure. The motivation behind this get best scheme simple efficient manner. ultimate goal output array, save energy, improve its overall efficiency. HPSO introduces concept hybridization genetic algorithms adopts nonlinear decreasing weight balance local search global ability algorithm prevent it falling into optimal solution. objective function used variation coefficient row current without factor. approach saves time balances by altering electrical connection component. 4 × 3 compared with Zig-Zag method. 9 CS (competence square) SuDoKu simulation results show that enhancement percentage between 6.39% 28.26%, curve tends single peak characteristics. has smaller mismatch higher fill factor five modes, which can effectively power, convenient track maximum point later.