Among the various MPPT algorithms developed until date, Perturb and Observe (P&O) and Incremental conductance (InC) algorithms are most widely used, mainly due to their simplicity and ease of implementation. However, both algorithms suffer from the drawbacks of continuous steady state oscillations, and inefficient tracking in case of rapid changes in irradiation. In this article, a SOFT-MPPT algorithm has been proposed which, in a simple way, aims to improve both the steady state as well as the tracking performance of both P&O and InC algorithms. An adaptive step size is used to track the MPP, which provides a faster tracking performance. The proposed algorithm identifies the attainment of the steady state and then stops the artificial perturbations. This stops the oscillations around the MPP and provides a steady power output from the PV panel at the MPP value. The SOFT-MPPT algorithm is also able to detect any change in operating conditions while operating in the steady state, and that too without using any additional sensors. Accordingly, it restarts the tracking process in order to track the new MPP. The detailed theoretical discussions of the SOFT-MPPT algorithm, is followed by the simulation and experimental results to validate the proposed performance improvements.

中文翻译：

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用于P＆O和InC算法的稳定输出和快速跟踪MPPT（SOFT-MPPT）

在迄今为止开发的各种MPPT算法中，Perturb and Observe（P＆O）和增量电导（InC）算法得到最广泛的应用，这主要是由于它们的简单性和易于实现性。然而，这两种算法都具有连续稳态振荡的缺点，并且在辐射快速变化的情况下跟踪效率低下。在本文中，提出了一种SOFT-MPPT算法，该算法以一种简单的方式旨在同时改善P＆O和InC算法的稳态以及跟踪性能。自适应步长用于跟踪MPP，从而提供更快的跟踪性能。所提出的算法识别达到稳态，然后停止人为扰动。这样可以停止MPP周围的振荡，并以MPP值从PV面板提供稳定的功率输出。SOFT-MPPT算法还能够在稳定状态下检测运行条件的任何变化，而且无需使用任何其他传感器即可检测到这种变化。因此，它重新启动跟踪过程以跟踪新的MPP。对SOFT-MPPT算法进行详细的理论讨论，然后通过仿真和实验结果验证所提出的性能改进。