A Hybrid Artificial Ecosystem Optimizer and Incremental-Conductance Maximum-Power-Point-Tracking-Controlled Grid-Connected Photovoltaic System
نویسندگان
چکیده
When tracking the peak power point in PV systems, incremental conductance is most common technique used. This approach preserves first trap local point, but it unable to quickly keep up with ever-changing under varying irradiance and temperature conditions. In this paper, authors propose a hybrid algorithm, combining an artificial ecosystem optimizer incremental-conductance-based MPPT solve these issues of traditional The proposed algorithm has been applied three scenarios, namely constant condition, condition. Under array maintained at 25 °C 1000 W/m2. voltage DC link neutral-pointed-clamped inverter V. increased from 400 W/m2 W/m2with step size 0.2 s. same while decreasing level W/m2, change However, °C. varies 35 °C, 15 10 s, all conditions V, which confirms that able vary duty cycle pulse wave modulation generator such manner variable produced by changed flyback converter into stable voltage. simulation results show total harmonic distortion (THD) simulated scenarios within 5%, agrees IEEE standards. future, may be compared other types available MPPTs partial shading.
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ژورنال
عنوان ژورنال: Energies
سال: 2023
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en16145384