基于输出电流传感器的Zeta变换器PV系统最大功率点跟踪及负载保护

Mayank Arora
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引用次数: 0

摘要

基于输出电流传感器的方法采用了光伏系统中广泛应用的模糊逻辑控制器的自适应变步长技术。它提供了快速收敛和精确的MPP检测与最小的稳态功率振荡。同时,采用模糊逻辑控制将系统的复杂度降到最低。它连续监测功率($\Delta$ P)的变化以调整占空位移($\Delta$ D),然后将其馈送到MPPT算法以执行自适应操作。同时,利用闭环占空比信息,在变换器超过阈值限制时进行关断,从而获得了较好的保护特性(欠载和过载)。该算法具有较低的稳态损耗和保护特性,具有较好的跟踪性能和效率。利用MATLAB仿真对该算法与扰动观测和电导增量算法进行了评估和比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Output current sensor based maximum power point tracking with load protection for PV system using Zeta Converter
The output current sensor-based method utilizes an adaptive variable step size technique using a fuzzy logic controller which is extensively employed in the PV system. It provides fast convergence and accurate detection of MPP with minimum steady-state power oscillations. Also, the complexity is minimized using fuzzy logic control. It continuously monitors the change in power ($\Delta$ P) to adjust the duty shift ($\Delta$ D), which is then fed to the MPPT algorithm to perform the adaptive operation. Also, it acquires the superior protection feature (under-loading and overloading) by utilizing the information of closed-loop duty cycle and hence switching off the converter when it crosses the threshold limit. This proposed Adaptive Step size algorithm is superior in tracking nature and efficiency by providing low steady-state loss with a protection feature. This algorithm is assessed and compared with Perturb and Observe and Incremental Conductance using MATLAB simulation.
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