Two Bio-inspired MPPT Algorithms to Harvest the Maximum Power from Partially Shaded PV Arrays (original) (raw)

2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)

Abstract

Owing to the complex nonlinear characteristics of photovoltaic (PV) panels, the P-V curve exhibits numerous peaks during partial shading (PS) that include several local peaks (LPs) along with the global peak (GP). Classical maximum power point tracking (MPPT) algorithms are not appropriate to successfully follow the GP under PS conditions. To optimize the energy captured from the PV array, advanced MPPT algorithms are necessary to track the GP. This paper presents two recognized bio-inspired based MPPT algorithms known as Cuckoo Search (CS) and Flower Pollination (FP) techniques. A comparative investigation is set up in order to demonstrate the performance of partially shaded PV arrays for the presented algorithms. According to the simulation results, both algorithms can follow the GP of the partially shaded PV arrays with fast convergence time and accuracy. Although the FP algorithm can track the GP, the CS algorithm superior it with less convergence time and more accuracy.

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