High-Performance Pure Sine Wave Inverter with Robust Intelligent Sliding Mode Maximum Power Point Tracking for Photovoltaic Applications

摘要: Photovoltaic (PV) power generation has been extensively used as a result of the limited petrochemical resources and rise environmental awareness. Nevertheless, PV arrays have widespread range voltage changes in variety solar radiation, load, temperature circumstances, so maximum point tracking (MPPT) method must be applied to get from systems. Sliding mode control (SMC) is effectively due its robustness, design simplicity, superior interference suppression. When array subject large parameter changes/highly uncertain conditions, SMC leads degraded steady-state performance, poor transient speed, unwanted flutter. Therefore, this paper proposes robust intelligent sliding MPPT-based high-performance pure sine wave inverter for applications. The designed through fast regime, which provides fixed time convergence non-singularity that allows better response transience. To avoid flutter caused by system unmodeled dynamics, an enhanced cuckoo optimization algorithm (ECOA) with automatically adjustable step factor detection probability search parameters mode, thus finding global optimal solutions. coalescence both ECOA can converter obtain MPPT faster rate without untimely trapping at local Then delivers high-quality stable sinusoidal load. efficacy proposed validated on using numerical simulations experiments. results show output improve performance speed.