Abstract Maximum Power Point Tracking (MPPT) algorithms mainly govern the performances of solar photovoltaic (PV) array of smart grid systems. To optimize systems’ output power in both steady-state and transient situations of the tracking process, a framework using an individualized sparse-aware time-adjusting stepsize adaptation technique for the traditional MPPT method is presented. The objective of this framework is to adaptively predict the produced power of a PV system instead of utilizing the currently estimated power to achieve better performance with the improved tracking abilities. This framework is based on predicting the power using the previously estimated values of the PV output voltage. In addition, the adaptation process is based on a time-varying stepsize that adjusts in accordance with the value of PV voltage. This approach presents a superior performance compared to the conventional method by providing an outstanding tracking ability and maintaining a stable performance under rapid alterations of atmospheric circumstances.

中文翻译：

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基于重加权零吸引可变步长的并网光伏系统的有效最大功率点跟踪

摘要 最大功率点跟踪（MPPT）算法主要控制智能电网系统太阳能光伏（PV）阵列的性能。为了在跟踪过程的稳态和瞬态情况下优化系统的输出功率，提出了一种框架，该框架使用针对传统 MPPT 方法的个性化稀疏感知时间调整步长自适应技术。该框架的目标是自适应地预测光伏系统的产生功率，而不是利用当前估计的功率来实现更好的性能和改进的跟踪能力。该框架基于使用先前估计的 PV 输出电压值来预测功率。此外，适应过程基于随光伏电压值调整的时变步长。