功率失配, 光伏阵列, 混沌映射, 萤火虫算法, 动态重构

To reduce the power mismatch loss of photovoltaic arrays under PSC(Partial Shading Conditions) and improve power generation efficiency, a BFA(Binary Firefly Algorithm) incorporating Logistic chaotic mapping for dynamic reconfiguration of TCT( Total-Cross-Tied) photovoltaic arrays under partial shading is proposed. The method balances irradiance among array rows by adjusting electrical connections between photovoltaic modules,thereby mitigating the impact of local shading on output power. A photovoltaic array model is established in MATLAB / Simulink to compare the proposed method with existing static reconfiguration (SuDoKu) and dynamic

reconfiguration HHO(Harris Hawks Optimization) approaches under three shading patterns: SW(Short Wide),LW(Long Wide), and random. Simulation results demonstrate that the BFA algorithm increases output power by 34. 6% , 26. 0% , and 9. 36% compared to the unreconfigured TCT structure, respectively, verifying its effectiveness in photovoltaic array optimization and adaptability to different shading patterns.

power mismatch, photovoltaic array, chaotic mapping, binary firefly algorithm, dynamic reconstruction