Eze Val Hyginus Udoka, Eze Martin Chinweokwu, Ugwu Samuel A, Enyi Valentine S, Okafor Wisdom O, Ogbonna Chibuzo C, Oparaku Ogbonna U
Department of Publication and Extension Unit, Kampala International University, Uganda.
Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Uganda.
Heliyon. 2024 Dec 21;11(1):e41344. doi: 10.1016/j.heliyon.2024.e41344. eCollection 2025 Jan 15.
Maximum Power Point Tracking (MPPT) is a technique employed in photovoltaic (PV) systems to ensure that the modules transfer the maximum generated power to the load. An advanced algorithm, the Improved Optimized Adaptive Differential Conductance (IOADC), was developed by applying Kirchhoff's law within a single diode model framework. The algorithm's performance was evaluated under various solar irradiance levels of 500 W/m, 750 W/m, and 1000 W/m at a constant temperature of 298K, analyzing its impact on power generation and transfer. Additionally, the performance was assessed at varying temperatures of 250K, 298K, and 350K under a constant irradiance of 1000 W/m to examine its effect on the Module Saturation Current (MSC). The analysis revealed that the PV modules' impedance decreases with increasing irradiance, while the load's impedance remains largely unaffected which aligns with the PV applications. However, the implementation of the IOADC technique showed significant effectiveness. It was also noted that an increase in temperature raises the module saturation current, which in turn reduces the power output, and vice versa which also agrees with the PV application. Real-world application results indicated that at an irradiance of 750 W/m, the output power at the maximum power point (MPP) for the Optimized Adaptive Differential Conductance (OADC), Voltage Control Technique, and IOADC were 83.3346 W, 86.9122 W, and 100.1739 W, respectively. The 100.1739W obtained from the IOADC technique showed a significant improvement. Through comprehensive comparative evaluation, analysis, and validation of the effects of varying temperature, irradiance, and MSC on output power, the developed IOADC model demonstrated a relative improvement of 15.82 % in simulations and 20.21 % in real-world conditions compared to the Voltage Control Technique and the OADC technique, respectively. Simulation validation and real-world application validation were performed using MATLAB 2020b. These validations confirmed the superior performance of the IOADC algorithm under varying conditions of temperature, irradiance, and module saturation current.
最大功率点跟踪（MPPT）是一种应用于光伏（PV）系统的技术，用于确保光伏组件将产生的最大功率传输到负载。通过在单二极管模型框架内应用基尔霍夫定律，开发了一种先进的算法——改进的优化自适应差分电导（IOADC）算法。在298K的恒定温度下，于500W/m²、750W/m²和1000W/m²的各种太阳辐照度水平下评估了该算法的性能，分析其对发电和功率传输的影响。此外，在1000W/m²的恒定辐照度下，于250K、298K和350K的不同温度下评估了性能，以研究其对组件饱和电流（MSC）的影响。分析表明，光伏组件的阻抗随辐照度增加而降低，而负载的阻抗在很大程度上不受影响，这与光伏应用情况相符。然而，IOADC技术的实施显示出显著的有效性。还注意到温度升高会提高组件饱和电流，进而降低功率输出，反之亦然，这也与光伏应用情况相符。实际应用结果表明，在750W/m²的辐照度下，优化自适应差分电导（OADC）算法、电压控制技术和IOADC算法在最大功率点（MPP）处的输出功率分别为83.3346W、86.9122W和100.1739W。从IOADC技术获得的100.1739W显示出显著的提升。通过对不同温度、辐照度和MSC对输出功率影响的综合比较评估、分析和验证，与电压控制技术和OADC技术相比，所开发的IOADC模型在模拟中显示出相对提升15.82%，在实际条件下显示出相对提升20.21%。使用MATLAB 2020b进行了模拟验证和实际应用验证。这些验证证实了IOADC算法在温度、辐照度和组件饱和电流变化条件下的卓越性能。
